Health Care Decision Support System for Swine Flu Prediction Using Naïve Bayes Classifier

2010 ◽  
Author(s):  
Binal. A. Tha ◽  
Mosin I. Hasan ◽  
Mansi A. Desai
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Swine Flu ◽  
Bayes Classifier ◽  
Health Care Decision ◽  
Ve Bayes ◽  
Care Decision

Advanced Issues of Health Informatics and Clinical Decision Support System in Global Health Care

2018 ◽  
pp. 153-170 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Global Health ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Health Informatics ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
Global Health Care

This chapter indicates the advanced issues of health informatics; the advanced issues of Clinical Decision Support System (CDSS); CDSS and Computerized Physician Order Entry (CPOE); the false positive alerts in CDSS; and CDSS and biomedical engineering. Health informatics and CDSS are the advanced health care technologies with the support of many technological fields. Health informatics and CDSS apply various computerized devices to provide enhanced health-related outcomes in terms of problem solving, analytical thinking, and decision making. Health informatics and CDSS help clinicians and health care providers to make complex information useful in supporting clinical decisions, thus delivering the best standard of care for each patient. The chapter argues that utilizing health informatics and CDSS has the potential to increase health outcomes and reach strategic goals in global health care.

A Decision Support System for Diabetes Care: Ethical Aspects

1999 ◽  
Vol 38 (04/05) ◽  
pp. 313-316 ◽  
Author(s):  
N. Shahsavar ◽  
H. Gill ◽  
G. Collste
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Diabetes Care ◽  
Good Health ◽  
Ethical Aspects ◽  
Ethical Perspective ◽  
Design And Implementation ◽  
Good Health Care

AbstractIn this paper the design and implementation of a decision support system for diabetes care is examined from an ethical perspective. It is noted that the system creates potential for enhancing the realization of the principle of autonomy through improved information to patients and participation by patients. However, there is also potential for using the system in a way that is contrary to good health care. It may provide patients with information they are unable to interpret and handle, and it may be used by healthcare authorities for controlling their personnel in ways contrary to good quality working conditions. In order for a decision support system to function as a well-integrated element in ethically based health care, different ethical aspects have to be taken into account during the design of the system. The ethical aspects also constitute one perspective of a systematic re-evaluation and re-design process.

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