A Review of Challenges and Opportunities in Machine Learning for Health

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A Review of Challenges and Opportunities in Machine Learning for Health

1 June 2018

Marzyeh Ghassemi

Tristan Naumann

Peter F. Schulam

Rajesh Ranganath

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Papers citing "A Review of Challenges and Opportunities in Machine Learning for Health"

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Title
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 51 1 0 14 Dec 2020
Semantic coordinates analysis reveals language changes in the AI field Zining Zhu Yang Xu Frank Rudzicz 58 0 0 01 Nov 2020
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 118 395 0 22 Sep 2020
Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels Alexander Lavin BDL MedIm 83 9 0 16 Sep 2020
Intimate Partner Violence and Injury Prediction From Radiology Reports Irene Y. Chen Emily Alsentzer Hyesun Park Richard Thomas B. Gosangi Rahul Gujrathi B. Khurana 50 22 0 28 Aug 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 194 67 0 15 Aug 2020
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design Samantha Robertson Niloufar Salehi 45 42 0 13 Jul 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 104 17 0 27 May 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 98 392 0 21 Jan 2020