Mining risk patterns in medical data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
BIBM '07 Proceedings of the 2007 IEEE International Conference on Bioinformatics and Biomedicine
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Algorithmic Prediction of Health-Care Costs
Operations Research
Time to CARE: a collaborative engine for practical disease prediction
Data Mining and Knowledge Discovery
Recommender Systems Handbook
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Data Mining in Healthcare and Biomedicine: A Survey of the Literature
Journal of Medical Systems
Ensemble Methods: Foundations and Algorithms
Ensemble Methods: Foundations and Algorithms
Contextual Search
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Each year, a large percentage of people change their physicians and other individual healthcare providers (IHPs). Many of these people have difficulty identifying a replacement they like. To help people find satisfactory IHPs who are likely to be good at managing their health issues and serve their needs well, in a previous paper we proposed a high-level framework for building a personalized search tool for IHPs. There are many issues regarding designing a personalized search tool for IHPs, of which only a small portion are mentioned in our previous paper. This paper surveys various such issues that are not covered in our previous paper. We include some preliminary thoughts on how to address these issues with the hope to stimulate future research work on the new topic of personalized search for IHPs.