Browsing by Author "Cheng, Po-Hsun"

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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
;
Hsieh, Sheau-Ling
;
Chen, Po-Hao
;
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
;
Cheng, Po-Hsun
;
Chen, Chi-Huang
;
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
;
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.
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.
Design and Implementation of Mobile Electronic Medication Administration Record
(2009)
Hsieh, Sung-Huai
;
Hou, I-Ching
;
Tan, Ching-Ting
;
Shen, Po-Chao
;
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
;
Hou, I-Ching
;
Cheng, Po-Hsun
;
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
;
Cheng, Po-Hsun
;
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.
Newborn Screening System Based on Adaptive Feature Selection and Support Vector Machines
(2009-01-01)
Hsieh, Sung-Huai
;
Chien, Yin-Hsiu
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Shen, Chia-Ping
;
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%.
Web Services Based Bio-signal System Leveraging Support Vector Machines
(2009)
Hsieh, Sung-Huai
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Hsieh, Sheau-Ling
;
Shen, Chia-Ping
;
Chen, Wei-Hsin
;
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.