Time:2025Year1month3Sunday afternoon4Points
PlacePoint:NewCampus Bet365 sportsbook review Building416ConferenceRoom
Reporter: Long Qi
numberPeople简Introduction:
龙Qi,Currently Professor of Biostatistics at the University of Pennsylvania School of Medicine Elected as Fellow of the American Association for the Advancement of Science and Fellow of the American Statistical Association, Long term engaged in statistics related to precision medicine and Bet365 sportsbook review, Informatics, Machine Learning, Research on artificial intelligence, Including medical big Bet365 sportsbook review analysis and inference(Multi-omics Bet365 sportsbook review, Electronic medical record Bet365 sportsbook review, Image Bet365 sportsbook review, etc.), Damaged Bet365 sportsbook review, Causal analysis, Bayesian method, The journals published include internationally renowned journalsNature CommunicationsTop Journal of StatisticsJournal of the American Statistical AssociationandBet365 sportsbook review/MLDinghuiICML, NeurIPS。
Report SummaryTo:
RichMulti-modal Bet365 sportsbook review in EHR that are recorded at irregular time intervals with varying frequencies include structured Bet365 sportsbook review such as labs and vitalsBet365 sportsbook review gaps and errors in EHRs are often unequally distributed across patient groupsI will share my research group’s recent works on responsible Bet365 sportsbook review/ML models including large language models (LLMs) for addressing these challenges
