醫學決策支援及專家系統

The real value of informatics in healthcare should not be only about the processing of data, presentation of information or accumulation of knowledge but also on supporting healthcare professionals in their decision and actions so the health outcomes and well-beings of patients could be really improved. It is important to understand issues related to (1) decision making, such as preferences and values and risks cased by the uncertainty; (2) modeling and techniques used to support the decision making, such as the Treatment Threshold Probability Model (TTPM), Artificial Neural Network (ANN), and Data Mining; and (3) the advanced support technique such as Expert Systems, which is an unique area in the Artificial Intelligence (AI) to transform the deep knowledge in a very specific domain into computer-understandable formats. This course will introduce and prepare you these topics and encourage you to further study the related techniques. You will be encouraged to work on related studies in medical/healthcare area and make a report at the end of class to demonstrate your understanding in these areas.

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Schedules: Date (Tue)* Topics 1.2023/2/14 Introduction and Illusion 2.2023/2/21 Value Tree and Measurement: Organizing Decision Criteria 3.2023/2/28 4.2023/3/7 Health Outcomes: Bottom-line of Informatics 5.2023/3/14 6.2023/3/21 Uncertainty and Risk: Utility (Risk-based Value) 7.2023/3/28 Decision Tree and Bayesian (Dynamic Decision Making) 8.2023/4/4 9.2023/4/11 Presentation of Term Project Topic 10.2023/4/18 Treatment Threshold Probability Model (TTPM) 11.2023/4/25 Clinical Decision Support: Revisit the TTPM Model by Informatics 12.2023/5/2 13.2023/5/9 Beyond Model-based Decision Supports: Knowledge 14.2023/5/16 Knowledge Acquisition & Representation 15.2023/5/23 16.2023/5/30 Rule-based Expert Systems and Case of ARDEN SYNTAX *Part of classes will be changed due to Out-of-town but the time will be averagely shifted to other time slots or the class will be done on Web.表示期中期末考試,以進度與成果報告為主.

In-class Participation 40%, Mid-term Report 30%, Final Report 30%.

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

15:30-17:30 (Tuesday)

聯絡方式

LINE polun5a0a 0975-158972