{"682927":{"#nid":"682927","#data":{"type":"event","title":"PhD Defense | Efficient and Pragmatic Decisions Under Uncertainty in Healthcare","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;Efficient and Pragmatic Decisions Under Uncertainty in Healthcare\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EJuly 3, 2025\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E10am\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/93499934047\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/93499934047\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E\u003Cp\u003E\u003Cstrong\u003EPaul Horton\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\u003Cp\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003Cbr\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E1 Dr. David Goldsman (Advisor)\u003C\/p\u003E\u003Cp\u003E2 Dr. Christos Alexopoulos\u003C\/p\u003E\u003Cp\u003E3 Dr. Xiaoming Huo\u003C\/p\u003E\u003Cp\u003E4 Dr. Yajun Mei\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAs personalized medicine impacts both the costs and benefits of healthcare, there is a growing need to make pragmatic decisions under resource constraints. In this proposal, I define a plan to research problems in the healthcare system which will address gaps in the literature related to efficient decisions. Among these, I will address a broad class of problems including the selection of a treatment from several alternatives, testing the performance of a diagnostic device with non-rectangular decision boundaries, and using imperfect references to quantify performance. A common theme among these problems is the formulation of a function to optimize, such as the relative benefit of a good decision, while constrained by regulations or penalized by resource consumption. Additionally, these problems include a temporal component as the time to make a decision has an associated cost along with multiple subpopulations to align with concepts in personalized medicine.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EEfficient and Pragmatic Decisions Under Uncertainty in Healthcare\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Paul Horton - Machine Learning PhD Student - H. Milton Stewart School of Industrial and Systems Engineering"}],"uid":"36518","created_gmt":"2025-06-27 19:03:41","changed_gmt":"2025-06-27 19:04:44","author":"shatcher8","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-07-03T10:00:00-04:00","event_time_end":"2025-07-03T12:00:00-04:00","event_time_end_last":"2025-07-03T12:00:00-04:00","gmt_time_start":"2025-07-03 14:00:00","gmt_time_end":"2025-07-03 16:00:00","gmt_time_end_last":"2025-07-03 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"https:\/\/gatech.zoom.us\/j\/93499934047","extras":[],"related_links":[{"url":"https:\/\/gatech.zoom.us\/j\/99388025469","title":""}],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}