Browsing by Author "Lai, Feipei"

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A Multi Model Voting Enhancement for Newborn Screening Healthcare Information System
(2009)
Hsieh, Sung-Huai
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Cheng, Po-Hsun
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Hsieh, Sheau-Ling
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Chen, Po-Hao
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Weng, Yung-Ching
The clinical symptoms of metabolic disorders during neonatal period are often not apparent. If not treated early, irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is essential, imperative to prevent neonatal from these damages. In the paper, we establish a newborn screening model that utilizes Support Vector Machines (SVM) techniques and enhancements to evaluate, interpret the Methylmalonic Acidemia (MMA) metabolic disorders. The model encompasses the Feature Selections, Grid Search, Cross Validations as well as multi model Voting Mechanism. In the model, the predicting accuracy, sensitivity and specificity of MMA can be improved dramatically. The model will be able to apply to other metabolic diseases as well.
A Multi-Voting Enhancement for Newborn Screening Healthcare Information System
(2010-08-01)
Hsieh, Sung-Huai
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Cheng, Po-Hsun
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Chen, Chi-Huang
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Huang, Kuo-Hsuan
;
Chen, Po-Hao
The clinical symptoms of metabolic disorders during neonatal period are often not apparent. If not treated early, irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is essential, imperative to prevent neonatal from these damages. In the paper, we establish a newborn screening model that utilizes Support Vector Machines (SVM) techniques and enhancements to evaluate, interpret the Methylmalonic Acidemia (MMA) metabolic disorders. The model encompasses the Feature Selections, Grid Search, Cross Validations as well as multi model Voting Mechanism. In the model, the predicting accuracy, sensitivity and specificity of MMA can be improved dramatically. The model will be able to apply to other metabolic diseases as well.
A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine
(2010-10-01)
Hsu, Kai-Ping
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Hsieh, Sung-Huai
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Hsieh, Sheau-Ling
;
Cheng, Po-Hsun
;
Weng, Yung-Ching
The clinical symptoms of metabolic disorders are rarely apparent during the neonatal period, and if they are not treated earlier, irreversible damages, such as mental retardation or even death, may occur. Therefore, the practice of newborn screening is essential to prevent permanent disabilities in newborns. In the paper, we design, implement a newborn screening system using Support Vector Machine (SVM) classifications. By evaluating metabolic substances data collected from tandem mass spectrometry (MS/MS), we can interpret and determine whether a newborn has a metabolic disorder. In addition, National Taiwan University Hospital Information System (NTUHIS) has been developed and implemented to integrate heterogeneous platforms, protocols, databases as well as applications. To expedite adapting the diversities, we deploy Service-Oriented Architecture (SOA) concepts to the newborn screening system based on web services. The system can be embedded seamlessly into NTUHIS.
A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine
(2010-10-01)
Hsu, Kai-Ping
;
Hsieh, Sung-Huai
;
Hsieh, Sheau-Ling
;
Cheng, Po-Hsun
;
Weng, Yung-Ching
The clinical symptoms of metabolic disorders are rarely apparent during the neonatal period, and if they are not treated earlier, irreversible damages, such as mental retardation or even death, may occur. Therefore, the practice of newborn screening is essential to prevent permanent disabilities in newborns. In the paper, we design, implement a newborn screening system using Support Vector Machine (SVM) classifications. By evaluating metabolic substances data collected from tandem mass spectrometry (MS/MS), we can interpret and determine whether a newborn has a metabolic disorder. In addition, National Taiwan University Hospital Information System (NTUHIS) has been developed and implemented to integrate heterogeneous platforms, protocols, databases as well as applications. To expedite adapting the diversities, we deploy Service-Oriented Architecture (SOA) concepts to the newborn screening system based on web services. The system can be embedded seamlessly into NTUHIS.
An integrated healthcare enterprise information portal and healthcare information system framework
(2006)
Hsieh, S. L.
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Lai, Feipei
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Cheng, P. H.
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Chen, J. L.
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Lee, H. H.
The paper presents an integrated, distributed Healthcare Enterprise Information Portal (HEIP) and Hospital Information Systems (HIS) framework over wireless/wired infrastructure at National Taiwan University Hospital (NTUH). A single sign-on solution for the hospital customer relationship management (CRNI) in HEIP has been established. The outcomes of the newly developed Outpatient Information Systems (OIS) in HIS are discussed. The future HEIP blueprints with CRM oriented features: e-Learning, Remote Consultation and Diagnosis (RCD), as well as on-Line Vaccination Services are addressed. Finally, the integrated HEIP and HIS architectures based on the middleware technologies are proposed along with the feasible approaches. The preliminary performance of multi-media, time-based data exchanges over the wireless HEIP side is collected to evaluate the efficiency of the architecture.
Application of Portable CDA for Secure Clinical-document Exchange
(2010-08-01)
Huang, Kuo-Hsuan
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Hsieh, Sung-Huai
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Chang, Yuan-Jen
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Lai, Feipei
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Hsieh, Sheau-Ling
Health Level Seven (HL7) organization published the Clinical Document Architecture (CDA) for exchanging documents among heterogeneous systems and improving medical quality based on the design method in CDA. In practice, although the HL7 organization tried to make medical messages exchangeable, it is still hard to exchange medical messages. There are many issues when two hospitals want to exchange clinical documents, such as patient privacy, network security, budget, and the strategies of the hospital. In this article, we propose a method for the exchange and sharing of clinical documents in an offline model based on the CDA-the Portable CDA. This allows the physician to retrieve the patient's medical record stored in a portal device, but not through the Internet in real time. The security and privacy of CDA data will also be considered.
Bio-signal Analysis System Design with Support Vector Machines based on Cloud Computing Service Architecture
(2010-01-01)
Shen, Chia-Ping
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Chen, Wei-Hsin
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Chen, Jia-Ming
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Hsu, Kai-Ping
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Lin, Jeng-Wei
Today, many bio-signals such as Electroencephalography (EEG) are recorded in digital format. It is an emerging research area of analyzing these digital bio-signals to extract useful health information in biomedical engineering. In this paper, a bio-signal analyzing cloud computing architecture, called BACCA, is proposed. The system has been designed with the purpose of seamless integration into the National Taiwan University Health Information System. Based on the concept of. NET Service Oriented Architecture, the system integrates heterogeneous platforms, protocols, as well as applications. In this system, we add modern analytic functions such as approximated entropy and adaptive support vector machine (SVM). It is shown that the overall accuracy of EEG bio-signal analysis has increased to nearly 98% for different data sets, including open-source and clinical data sets.
Critical Trio Exome Benefits In-Time Decision-Making for Pediatric Patients With Severe Illnesses*
(2019-11-01)
Wu, En-Ting
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Hwu, Wuh-Liang
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Chien, Yin-Hsiu
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Hsu, Ching
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Chen, Ting-Fu
Objectives: Critical illnesses caused by undiagnosed genetic conditions are challenging in PICUs. Whole-exome sequencing is a powerful diagnostic tool but usually costly and often fail to arrive at a final diagnosis in a short period. We assessed the feasibility of our whole-exome sequencing as a tool to improve the efficacy of rare diseases diagnosis for pediatric patients with severe illness. Design: Observational analysis. Method: We employed a fast but standard whole-exome sequencing platform together with text mining-assisted variant prioritization in PICU setting over a 1-year period. Setting: A tertiary referral Children's Hospital in Taiwan. Patients: Critically ill PICU patients suspected of having a genetic disease and newborns who were suspected of having a serious genetic disease after newborn screening were enrolled. Interventions: None. Measurements and Main Results: Around 50,000 to 100,000 variants were obtained for each of the 40 patients in 5 days after blood sampling. Eleven patients were immediately found be affected by previously reported mutations after searching mutation databases. Another seven patients had a diagnosis among the top five in a list ranked by text mining. As a whole, 21 patients (52.5%) obtained a diagnosis in 6.2 +/- 1.1 working days (range, 4.3-9 d). Most of the diagnoses were first recognized in Taiwan. Specific medications were recommended for 10 patients (10/21, 47.6%), transplantation was advised for five, and hospice care was suggested for two patients. Overall, clinical management was altered in time for 81.0% of patients who had a molecular diagnosis. Conclusions: The current whole-exome sequencing algorithm, balanced in cost and speed, uncovers genetic conditions in infants and children in PICU, which helps their managements in time and promotes better utilization of PICU resources.
Design and Implementation of Mobile Electronic Medication Administration Record
(2009)
Hsieh, Sung-Huai
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Hou, I-Ching
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Tan, Ching-Ting
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Shen, Po-Chao
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Yu, Hui-Chu
Patients\' safety is the most essential, critical issue, however, errors can hardly prevent, especially for human faults. In order to reduce the errors caused by human, we construct Electronic Health Records (EHR) in the Health Information System (HIS) to facilitate patients\' safety and to improve the quality of medical care. During the medical care processing, all the tasks are based upon physicians\' orders. In National Taiwan University Hospital (NTUH), the Electronic Health Record committee proposed a localized standard of flows of orders. There are objectives of the standard: first, to enhance medical procedures and enforce hospital policies; secondly, to improve the quality of medical care; third, to collect sufficient, adequate data for EHR in the near future. Among the proposed procedures, NTUH decides to establish a Mobile Electronic Medication Administration Record (ME-MAR) System. According to researches, it indicates that medication errors are highly proportion to total medical faults. Therefore, we expect the ME-MAR system can reduce medication errors. In addition, we predict ME-MAR can assist nurses or healthcare practitioners to administer, manage medication properly.
Design and Implementation of Web-Based Mobile Electronic Medication Administration Record
(2010-10-01)
Hsieh, Sung-Huai
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Hou, I-Ching
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Cheng, Po-Hsun
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Tan, Ching-Ting
;
Shen, Po-Chao
Patients' safety is the most essential, critical issue, however, errors can hardly prevent, especially for human faults. In order to reduce the errors caused by human, we construct Electronic Health Records (EHR) in the Health Information System (HIS) to facilitate patients' safety and to improve the quality of medical care. During the medical care processing, all the tasks are based upon physicians' orders. In National Taiwan University Hospital (NTUH), the Electronic Health Record committee proposed a standard of order flows. There are objectives of the standard: first, to enhance medical procedures and enforce hospital policies; secondly, to improve the quality of medical care; third, to collect sufficient, adequate data for EHR in the near future. Among the proposed procedures, NTUH decides to establish a web-based mobile electronic medication administration record (ME-MAR) system. The system, build based on the service-oriented architecture (SOA) as well as embedded the HL7/XML standard, is installed in the Mobile Nursing Carts. It also implement accompany with the advanced techniques like Asynchronous JavaScript and XML (Ajax) or Web services to enhance the system usability. According to researches, it indicates that medication errors are highly proportion to total medical faults. Therefore, we expect the ME-MAR system can reduce medication errors. In addition, we evaluate ME-MAR can assist nurses or healthcare practitioners to administer, manage medication properly. This successful experience of developing the NTUH ME-MAR system can be easily applied to other related system. Meanwhile, the SOA architecture of the system can also be seamless integrated to NTUH or other HIS system.
Design Ensemble Machine Learning Model for Breast Cancer Diagnosis
(2012-10-01)
Hsieh, Sheau-Ling
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Hsieh, Sung-Huai
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Cheng, Po-Hsun
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Chen, Chi-Huang
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Hsu, Kai-Ping
In this paper, we classify the breast cancer of medical diagnostic data. Information gain has been adapted for feature selections. Neural fuzzy (NF), k-nearest neighbor (KNN), quadratic classifier (QC), each single model scheme as well as their associated, ensemble ones have been developed for classifications. In addition, a combined ensemble model with these three schemes has been constructed for further validations. The experimental results indicate that the ensemble learning performs better than individual single ones. Moreover, the combined ensemble model illustrates the highest accuracy of classifications for the breast cancer among all models.
E-Health and Healthcare Enterprise Information System Leveraging Service-Oriented Architecture
(2012-04-01)
Hsieh, Sung-Huai
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Hsieh, Sheau-Ling
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Cheng, Po-Hsun
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Lai, Feipei
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資訊技術服務中心
Objective: To present the successful experiences of an integrated, collaborative, distributed, large-scale enterprise healthcare information system over a wired and wireless infrastructure in National Taiwan University Hospital (NTUH). In order to smoothly and sequentially transfer from the complex relations among the old (legacy) systems to the new-generation enterprise healthcare information system, we adopted the multitier framework based on service-oriented architecture to integrate the heterogeneous systems as well as to interoperate among many other components and multiple databases. We also present mechanisms of a logical layer reusability approach and data (message) exchange flow via Health Level 7 (HL7) middleware, DICOM standard, and the Integrating the Healthcare Enterprise workflow. The architecture and protocols of the NTUH enterprise healthcare information system, especially in the Inpatient Information System (IIS), are discussed in detail. Implementation: The NTUH Inpatient Healthcare Information System is designed and deployed on service-oriented architecture middleware frameworks. The mechanisms of integration as well as interoperability among the components and the multiple databases apply the HL7 standards for data exchanges, which arc embedded in XML formats, and Microsoft .NET Web services to integrate heterogeneous platforms. Measurements: The preliminary performance of the current operation IFS is evaluated and analyzed to verify the efficiency and effectiveness of the designed architecture; it shows reliability and robustness in the highly demanding traffic environment of NTUH. Conclusions: The newly developed NTUH IIS provides an open and flexible environment not only to share medical information easily among other branch hospitals, but also to reduce the cost of maintenance. The HL7 message standard is widely adopted to cover all data exchanges in the system. All services are independent modules that enable the system to be deployed and configured to the highest degree flexibility. Furthermore, we can conclude that the multitier Inpatient Healthcare Information System has been designed successfully and in a collaborative manner, based on the index of performance evaluations, central processing unit, and memory utilizations.
High-Performance Seizure Detection System Using a Wavelet-Approximate Entropy-fSVM Cascade With Clinical Validation
(2013-10-01)
Shen, Chia-Ping
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Chen, Chih-Chuan
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Hsieh, Sheau -Ling
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Chen, Wei-Hsin
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Chen, Jia-Ming
The classification of electroencephalography (EEG) signals is one of the most important methods for seizure detection. However, verification of an atypical epileptic seizure often can only be done through long-term EEG monitoring for 24 hours or longer. Hence, automatic EEG signal analysis for clinical screening is necessary for the diagnosis of epilepsy. We propose an EEG analysis system of seizure detection, based on a cascade of wavelet-approximate entropy for feature selection, Fisher scores for adaptive feature selection, and support vector machine for feature classification. Performance of the system was tested on open source data, and the overall accuracy reached 99.97%. We further tested the performance of the system on clinical EEG obtained from a clinical EEG laboratory and bedside EEG recordings. The results showed an overall accuracy of 98.73% for routine EEG, and 94.32% for bedside EEG, which verified the high performance and usefulness of such a cascade system for seizure detection. Also, the prediction model, trained by routine EEG, can be successfully generalized to bedside EEG of independent patients.
Middleware based inpatient healthcare information system
(2007)
Hsieh, S. H.
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Hsieh, S. L.
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Weng, Y. C.
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Yang, T. H.
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Lai, Feipei
The paper presents a multi-tier, integrated, distributed Inpatient Healthcare Information System based on Service Oriented Architecture (SOA) NET environment in National Taiwan University Hospital (NTUH). The architecture and outcomes of the newly developed Inpatient Information System (IIS) platform are discussed in details. We also present mechanisms of integration as well as interoperability among the components and multi-database in IIS via Health Level Seven (HL7) Middleware layer. The preliminary performance of the current operating IIS is evaluated and analyzed to verify the efficiency and effectiveness of the architecture we designed.
Newborn Screening for Phenylketonuria: Machine Learning vs Clinicians
(2012)
Chen, Wei-Hsin
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Chen, Han-Ping
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Tseng, Yi-Ju
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Hsu, Kai-Ping
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Hsieh, Sheau-Ling
The metabolic disorders may hinder an infant\'s normal physical or mental development during the neonatal period. The metabolic diseases can be treated by effective therapies if the diseases are discovered in the early stages. Therefore, newborn screening program is essential to prevent neonatal from these damages. In the paper, a support vector machine (SVM) based algorithm is introduced in place of cut-off value decision to evaluate the analyte elevation raw data associated with Phenylketonuria. The data were obtained from tandem mass spectrometry (MS/MS) for newborns. In addition, a combined feature selection mechanism is proposed to compare with the cut-off scheme. By adapting the mechanism, the number of suspected cases is reduced substantially; it also handles the medical resources effectively and efficiently.
Newborn Screening Healthcare Information System Based on Service-Oriented Architecture
(2010-08-01)
Hsieh, Sung-Huai
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Hsieh, Sheau-Ling
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Chien, Yin-Hsiu
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Weng, Yung-Ching
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Hsu, Kai-Ping
In this paper, we established a newborn screening system under the HL7/Web Services frameworks. We rebuilt the NTUH Newborn Screening Laboratory's original standalone architecture, having various heterogeneous systems operating individually, and restructured it into a Service-Oriented Architecture (SOA), distributed platform for further integrity and enhancements of sample collections, testing, diagnoses, evaluations, treatments or follow-up services, screening database management, as well as collaboration, communication among hospitals; decision supports and improving screening accuracy over the Taiwan neonatal systems are also addressed. In addition, the new system not only integrates the newborn screening procedures among phlebotomy clinics, referral hospitals, as well as the newborn screening center in Taiwan, but also introduces new models of screening procedures for the associated, medical practitioners. Furthermore, it reduces the burden of manual operations, especially the reporting services, those were heavily dependent upon previously. The new system can accelerate the whole procedures effectively and efficiently. It improves the accuracy and the reliability of the screening by ensuring the quality control during the processing as well.
Newborn Screening System Based on Adaptive Feature Selection and Support Vector Machines
(2009-01-01)
Hsieh, Sung-Huai
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Chien, Yin-Hsiu
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Shen, Chia-Ping
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Chen, Wei-Hsin
;
Chen, Po-Hao
The clinical symptoms of metabolic disorders during neonatal period are often not apparent, if not treated early irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is very important to prevent neonatal from these damages. In this paper, the newborn screening system used support vector machines (SVM) classification technique is proposed in place of cut-off value decision to evaluate the metabolic substances concentration raw data obtained from tandem mass spectrometry (MS/MS) and determine whether the newborn has some kinds of metabolic disorder diseases. On the basis of the proposed features, new analytic combinations are identified with superior discriminatory performance compared with the best published combinations. Classifiers built with the feature selection to find C3/C2, C3 and C16 of three key point features achieved diagnostic sensitivities, specificities and accuracy approaching 100%.
Semantic Similarity Measure in Biomedical Domain Leverage Web Search Engine
(2010)
Chen, Chi-Huang
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Hsieh, Sheau-Ling
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Weng, Yung-Ching
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Chang, Wen-Yung
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Lai, Feipei
Semantic similarity measure plays an essential role in Information Retrieval and Natural Language Processing. In this paper we propose a page-count-based semantic similarity measure and apply it in biomedical domains. Previous researches in semantic web related applications have deployed various semantic similarity measures. Despite the usefulness of the measurements in those applications, measuring semantic similarity between two terms remains a challenge task. The proposed method exploits page counts returned by the Web Search Engine. We define various similarity scores for two given terms P and Q, using the page counts for querying P, Q and P AND Q. Moreover, we propose a novel approach to compute semantic similarity using lexico-syntactic patterns with page counts. These different similarity scores are integrated adapting support vector machines, to leverage the robustness of semantic similarity measures. Experimental results on two datasets achieve correlation coefficients of 0.798 on the dataset provided by A. Hliaoutakis, 0.705 on the dataset provide by T. Pedersen with physician scores and 0.496 on the dataset provided by T. Pedersen et al. with expert scores.
Web Services Based Bio-signal System Leveraging Support Vector Machines
(2009)
Hsieh, Sung-Huai
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Hsieh, Sheau-Ling
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Shen, Chia-Ping
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Chen, Wei-Hsin
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Cheng, Po-Hsun
Bio-signal analysis is one of the most important approaches to biomedical engineering. The health information such as ECG, PCG, EMG and EEG are often recorded in digital format to be analyzed. In this paper, a bio-signal analyzing web service system using Support Vector Machines (SVM) classifier technique is proposed. The bio-signals are recorded in digital format as the input of the system. In addition, based on the concept of Service-Oriented Architecture (SOA), the system under web services .NET is designed. The system provides features including heterogeneous platform, protocols, as well as applications. The system has been designed with the purpose of seamless integration into the Health Information System.
Web-based Healthcare Hand Drawing Management System
(2010)
Hsieh, Sheau-Ling
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Weng, Yung-Ching
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Chen, Chi-Huang
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Hsu, Kai-Ping
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Lin, Jeng-Wei
the paper addresses Medical Hand Drawing Management System architecture and implementation. In the system, we developed four modules: hand drawing management module; patient medical records query module; hand drawing editing and upload module; hand drawing query module. The system adapts windows-based applications and encompasses web pages by ASP. NET hosting mechanism under web services platforms. The hand drawings implemented as files are stored in a FTP server. The file names with associated data, e. g. patient identification, drawing physician, access rights, etc. are reposited in a database. The modules can be conveniently embedded, integrated into any system. Therefore, the system possesses the hand drawing features to support daily medical operations, effectively improve healthcare qualities as well. Moreover, the system includes the printing capability to achieve a complete, computerized medical document process. In summary, the system allows web-based applications to facilitate the graphic processes for healthcare operations.