Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium

The second Machine Learning for Health (ML4H) symposium was held both virtually and in-person on November 28, 2022, in New Orleans, Louisiana, USA (Parziale et al., 2022). The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely...

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Hauptverfasser:	Hegselmann, Stefan, Zhou, Helen, Yuyin Zhou, Chien, Jennifer, Sujay Nagaraj, Hulkund, Neha, Shreyas Bhave, Oberst, Michael, Amruta Pai, Ellington, Caleb, Wisdom Ikezogwo, Dou, Jason Xiaotian, Agrawal, Monica, Changye Li, Peniel Argaw, Biswas, Arpita, Mehak Gupta, Xinhui Li, Lemanczyk, Marta, Yuhui Zhang, Garbin, Christian, Healey, Elizabeth, Heejong Kim, Boone, Claire, Daneshjou, Roxana, Siyu Shi, Pezzotti, Nicola, Pfohl, Stephen R., Fong, Edwin, Aakanksha Naik, Lengerich, Ben, Xu, Ying, Bidwell, Jonathan, Sendak, Mark, Byung-Hak Kim, Hendrix, Nathaniel, Spathis, Dimitris, Seita, Jun, Quast, Bastiaan, Coffee, Megan, Stultz, Collin, Chen, Irene Y., Shalmali Joshi, Girmaw Abebe Tadesse
Format:	Report
Sprache:	eng
Schlagworte:	healthcare machine learning medicine
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