706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching

I-36: Updates on Matching IVF Protocols with Patient Segments

Background - MaterialsAndMethods N;Results N;Conclusion N;

Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity

Personalized predictive models are customized for an individual patient and trained using information from similar patients. Compared to global models trained on all patients, they have the potential to produce more accurate risk scores and capture more relevant risk factors for individual patients. This paper presents an approach for building personalized predictive models and generating perso...

Where is Patient Safety Research and Practice Heading? A Response to Recent Commentaries

Chain: A Dynamic Double Auction Framework for Matching Patient Agents

In this paper we present and evaluate a general framework for the design of truthful auctions for matching agents in a dynamic, two-sided market. A single commodity, such as a resource or a task, is bought and sold by multiple buyers and sellers that arrive and depart over time. Our algorithm, Chain, provides the first framework that allows a truthful dynamic double auction (DA) to be construct...

The Why, Who, What, How, and When of Patient Engagement in Healthcare Organizations: A Response to Recent Commentaries