Obtaining medical knowledge and evidence from medical data and apply them to personalized care and comparative effectiveness research.
Title: Machine learning-based decision support systems for personalized medical care
Brief description: This dissertation describes three new algorithms for constructing machine learning-based decision support systems. All three acquire and update medical knowledge automatically from data and utilize nonlinear forms of knowledge to provide personalized decision support. These new methods are applied to: (1) individualized multi-objective hospital referral that estimates personalized survival probabilities in each hospital and facilitates more flexible and better hospital selection; (2) individualized, cost-effective diagnosis that determines individualized testing sequences to speed up diagnoses and reduce testing cost without losing diagnostic performance; (3) individualized lifestyle recommendation that constructs patient-specific lifestyle changes based on the individual characteristics to reduce the risk of cardiovascular disease.
Ph.D. Health Informatics program, The University of Iowa, July 2009
M.B.A. Feng Chia University , Taichung, Taiwan, June 2000
B.S. Zoology, National Chung-Hsing University (NCHU), Taichung, Taiwan, June 1998
1. Chih-Lin Chi, W. Nick Street, Jennifer G. Robinson. Individualized lifestyle recommendation: what's your most effective lifestyle? Comparing predictive effects to identify the best personalized lifestyle. Journal submission, in preparation.
2. Chih-Lin Chi, W. Nick Street, David A. Katz. A decision support system for cost-effective diagnosis. Artificial Intelligence in Medicine, accepted.
3. Chih-Lin Chi, W. Nick Street. The optimal diagnostic decision sequence. American Medical Informatics Association Annual Symposium, page 902, Washington, DC, November 2008.
4. Chih-Lin Chi, W. Nick Street, Marcia M. Ward. Building a hospital referral expert system with a prediction and optimization-based decision support system algorithm. Journal of Biomedical Informatics 41(2):371-386, April 2008.
5. Chih-Lin Chi, W. Nick Street, William H. Wolberg. Application of artiﬁcial neural network-based survival analysis on two breast cancer datasets. Proceedings of the 2007 American Medical Informatics Association Annual Symposium, pages 130-134, Chicago, IL, November 2007.
6. Chih-Lin Chi, W. Nick Street. A data mining technique for risk-stratiﬁcation diagnosis. Proceedings of the 2007 American Medical Informatics Association Annual Symposium, page 909, Chicago, IL, November 2007.
7. Chih-Lin Chi. The e-mail advertising eﬀectiveness enhancing mechanism by using neural network model. MBA thesis, The Department of Business Administration, Feng Chia University, Taiwan, 2000.