醫學決策支援及專家系統

The real value of informatics in healthcare starts from data collection, processing, knowledge accumulation due to real-world experience building-ups, but, ends up improvement of diagnosis, monitoring of treatment impacts and finally, the improvement of patiens' health outcomes and well-beings. This means the value of Health Science Informatics (HSI), today the most accepted terms used by biomedical infomratics experts, can only be determined by the final outcomes through the supports of healthcare professionals' decision making. The true meaninings of HSI should not be only about data, information and knowledge because it is about human life which is the final judge, as well as the ART components of health/medicine that the imprecision of knowledge, imperfect of human decision making, lack of clear magic medicine, the conflicting values among various stakeholders still deeply affects the quality of healthcare delivery. Therefore, this course will first introuce you the imperfect and challengdes of medical decision making and the expert systems technique, the classical medilcal AI, and its failure in health/medicine. Then the current hot tools, such as deep leaning, the tools of Deepseek and xGPT, will be introduced and discussed their values, potentials, and LIMITS. Finally, the topics of more healpful and promissing medical AIs will be discussed.

No

Tools please download and use before the class: (1) ChatGPT (2) DeepSeek

In-class Discussion 40%, Project 40%, Final Report 20%.

Not Necessary. (1) Winterfeldt von D, Edwards W. Decision Analysis and Behavioral Research. Cambridge, 1986. (2) Sox H, Blatt MA, Higgins MC, Martin KI. Medical Decision Making. The American College of Physicians, 2006. (3) Turban E, Sharda R, Delen D. Decision Support and Business Intelligence Systems. (9th Edition) Prentice Hall, 2010.

地點

Rm 104, SoRung Building

時間

Personal Appointments

聯絡方式

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