Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
Hyewon JeongSarah JabbourYuzhe YangRahul ThapaHussein MozannarWilliam Jongwon HanNikita MehandruMichael WornowVladislav LialinXin LiuAlejandro LozanoJiacheng ZhuRafal Dariusz KocielnikKeith HarrigianHaoran ZhangEdward LeeMilos VukadinovicAparna BalagopalanVincent JeanselmeKatherine MattonIlker DemirelJason A. FriesParisa RashidiBrett K. Beaulieu-JonesXuhai "Orson" XuMatthew B. A. McDermottTristan NaumannMonica AgrawalMarinka ZitnikBerk UstunEdward ChoiKristen YeomGamze GürsoyMarzyeh GhassemiEmma PiersonGeorge H. ChenSanjat KanjilalMichael OberstLinying ZhangHarvineet SinghTom HartvigsenHelen ZhouChinasa T. OkoloPublished in: CoRR (2024)
Keyphrases
- recent advances
- machine learning
- computer science
- artificial intelligence
- maximum likelihood
- machine learning methods
- researchers and practitioners
- lessons learned
- health informatics
- recent developments
- multimedia processing
- pattern recognition
- decision trees
- computer vision
- learning algorithm
- selected papers
- machine learning algorithms
- data mining
- information extraction
- challenges facing
- face recognition
- high level