Departments of
Information Systems Engineering
And Industrial Engineering

Instructor: Prof. Yuval Shahar, M.D., Ph.D.

Teaching Assistant: Erez Shalom,Msc.

Please put your hard copy of exercises at Erez Shalom cell, build. 93

Lesson Num	Lectures / Discussions	Slides	Papers and URL's	Homework	Submission Date	Grades
*		Syllabus (spring 2009)
1	Introduction to Medical Informatics and Medical Decision-Support Systems	Medical Informatics (ppt)
2	Introduction to Electronic Medical Records, Medical Informatics Standards, and Hospital Information Systems	EMRs-and-Standards(ppt) – next week	Chapter 6 , 9 , 10 (pdf)
3	Clinical, research, and other time-oriented databases	Temporal DBS (ppt)	Shahar & Combi 1997	MDSS1 - TDBS	27/5/2009
4	Diagnostic systems (1): Rule-based systems MYCIN	MYCIN	H.Shortliffe Handouts Chapter 5	MDSS2 - MYCIN	2/6//2009
5	Diagnostic Systems (2): Internist I/QMR/QMR-DT; Iliad; DxPlain	Internist I (pdf),	Chapter 16 Bankovitz et al.	MDSS3 - Internist1 & QMR H.Shortliffe	16/6/2009
6	Diagnostic Systems (3): Probabilistic systems, Belief Networks, Influence diagrams, de Dombal’s program; The PathFinder project	Probabilistic reasoning (ppt) - new	Heckerman et al.( I) , Heckerman et al.(II) ,  MIM 1992(|),  MIM 1992(||) , Leaper et al., BMJ 1972 ; In library And in “Tadpisim” of Maarachot Mida Medical decision makers - Ch 3(pdf)	MDSS4 - Probability	30/6/2009
7	Medical Decision Making and Human Judgement: Normative and Descriptive considerations	Biases in Human Decision Making (ppt)	Tversky and Kahneman, Science 1973 Judgement under Uncertainty: Heuristics and Biases In library And in “Tadpisim”	Mini-project: Description Database	End of Semester – will be published (will be HAGANA)
8	Medical Decision Analysis, cost-benefit analysis; cost-effective analysis
9	Machine Learning (1): supervised learning; neural networks, ID3, C4.5; Machine Learning (2): nonsupervised learning; clustering;	Machine Learning (ppt)	Mitchell, Chap 1 Mitchell, Chap 2 Mitchell, Chap 3 In library And in “Tadpisim”
10	Temporal reasoning and monitoring in medical applications; RESUME; Tzolkin; KNAVE	RESUME-Tzolkin-KNAVE (old) RESUME_IDAN_KNAVE-II  (new)	Shahar and Musen 1996 [Shahar et al., IDAMAP 2003]	MDSS5	7/7/2009
11	Automated support to guideline-based therapy planning; Arden Syntax, EON, GLIF, Asgaard	Automated therapy planning; EON; Asgaard (ppt) DEGEL overview	The Asgaard Project: link , pdf EON: link , pdf	MDSS6 - Planning; EON Asgaard	14/7/2009
12	Presentation of Web-Based Integrated Medical data Warehouse

 Messages:

1. Good Luck in the new semester to all students

2. ."

course staff. J