Medical Artificial Intelligence

Readings

• HST.947 students are expected to complete all readings for 6.034. The Chapter readings assigned for lecture sessions (L) come from the course lecture notes . Additonal readings are assigned for the weekly discussion sessions (D) as listed in the table. ↗
  Listed reading
• Chapter 3 (Sec 3.1-3.5)
  Listed reading
• Szolovits, P., and S. G. Pauker. “Categorical and probabilistic reasoning in medical diagnosis.” Artificial Intelligence 11, nos. 1-2 (1978): 115-144.
  Listed reading
• Pauker, S. G., G. A. Gorry, J. P. Kassirer, and W. B. Schwartz. “Toward the Simulation of Clinical Cognition: Taking the Present Illness.” American Journal of Medicine 60 (1976): 1-18.
  Listed reading
• Chapter 4 (Sec 4.1-4.3)
  Listed reading
• Wu, T. D. “Efficient Diagnosis of Multiple Disorders Based on a Symptom Clustering Approach.” In Proceedings of the Eighth National Conference on Artificial Intelligence . Menlo Park, CA: AAAI Press, 1990, pp. 357-364.
  Listed reading
• Pople, H. E., Jr. “Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics.” Chapter 5 in Artificial Intelligence in Medicine . Edited by P. Szolovits. Boulder, CO: Westview Press, 1982, pp. 119-190. ISBN: 9780891589006.
  Listed reading
• Chapter 6 (Sec 6.1-6.3)
  Listed reading
• Schwartz, W. B., R. S. Patil, and P. Szolovits. “Artificial intelligence in medicine: where do we stand.” New England Journal of Medicine 316 (1987): 685-688.
  Listed reading
• Patil, R. S., P. Szolovits, and W. B. Schwartz. “Causal understanding of patient illness in medical diagnosis.” In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, 1981, pp. 893-899.
  Listed reading
• ———. “Information acquisition in diagnosis.” In Proceedings of the National Conference on Artificial Intelligence . American Association for Artificial Intelligence, 1982, pp. 345-348.
  Listed reading
• Patil, R. S. “ Causal Representation of Patient Illness for Electrolyte and Acid-Base Diagnosis .” MIT Ph.D. Thesis, 1981. ↗
  Listed reading
• Chapter 18 (Sec 18.1-18.3)
  Listed reading
• Lasko, T. A., J. G. Bhagwat, K. H. Zou, and L. Ohno-Machado. The Use of Receiver Operating Characteristic Curves in Biomedical Informatics . (In press.)
  Listed reading
• Cooper, Gregory F., et al. “Predicting Dire Outcomes of Patients with Community Acquired Pneumonia.” Journal of Biomedical Informatics 38, no. 5 (2005): 347-366.
  Listed reading
• Chapter 20 (Sec 20.4)
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• Chapter 20 (Sec 20.5-20.6)
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• Statnikov, A., et al. “A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis.” Bioinformatics 21, no. 5 (2005): 631-643.
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• Kuo, W. P., et al. “A primer on gene expression and microarrays for machine learning researchers.” Journal of Biomedical Informatics 37 (2004): 293–303.
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• Marcin, J. P., et al. “Combining physician’s subjective and physiology-based objective mortality risk predictions.” Crit Care Med 28, no. 8 (2000): 2984-90.
  Listed reading
• Steyerberg, E. W., et al. “Validation and updating of predictive logistic regression models: a study on sample size and shrinkage.” Statist Med 23 (2004): 2567-2586.
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• Coderre, S., et al. “Diagnostic reasoning strategies and diagnostic success.” Medical Education 37 (2003): 695-703.
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• Arocha, J. F., et al. “Identifying reasoning strategies in medical decision making: A methodological guide.” Journal of Biomedical Informatics (2005 - in press.)
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• Hunt, D. L., et al. “Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes.” JAMA 280, no. 15 (1998): 1339-46.
  Listed reading
• Kawamoto, K., et al. “Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.” BMJ (British Medical Journal) 330, no. 7494 (2005): 765.
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• Ammenwerth, E., and N. de Keizer. “An Inventory of Evaluation Studies of Information Technology in Health Care.” Methods Inf Med 44 (2005): 44-56.
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• Chapter 7 (Sec 7.1-7.5)
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• Rector, A. L., et al. “The GRAIL Concept Modelling Language for Medical Terminology.” Extended version of the paper in Artificial Intelligence in Medicine 9 (1997): 139-171.
  Listed reading
• Trombert-Paviot, B., et al. “GALEN: a third generation terminology tool to support a multipurpose national coding system for surgical procedures.” International Journal of Medical Informatics 58-59 (2000): 71-85.
  Listed reading
• Chapter 8 (Sec 8.1-8.3)
  Listed reading
• Berner, E. S., et al. “Performance of Four Computer-Based Diagnostic Systems.” New England Journal of Medicine 300 (1994): 1792-6.
  Listed reading
• Fraser, H. S. F., et al. “Evaluation of a Cardiac Diagnostic Program in a Typical Clinical Setting.” Journal of the American Medical Informatics Association 10 (2003): 373-381.
  Listed reading
• Chapter 9 (Sec 9.1, 9.2, 9.5)
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• Chapter 9 (Sec 9.4)
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• Davis, R., B. G. Buchanan, and E. H. Shortliffe. “Production Rules as a Representation for a Knowledge-Based Consultation Program.” Artificial Intelligence 8 (1977): 15-45.
  Listed reading
• Yu, V. L., B. G. Buchanan, E. H. Shortliffe, S. M. Wraith, R. Davis, A. C. Scott, and S. N. Cohen. “Evaluating the Performance of a Computer-Based Consultant.” Comp Programs in Biomedicine 9 (1979): 95-102.
  Listed reading
• Yu, V. L., et al. “Antimicrobial Selection by a Computer: A Blinded Evaluation by Infectious Diseases Experts.” JAMA 242, no. 12 (1979): 1279-82.
  Listed reading
• Chapter 22 (Sec 22.1-22.5)
  Listed reading