Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data

2 October 2020

Papers citing "Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data"

6 / 6 papers shown

Title
PhilHumans: Benchmarking Machine Learning for Personal Health Vadim Liventsev Vivek Kumar Allmin Pradhap Singh Susaiyah Zixiu "Alex" Wu Ivan Rodin ... Milan Petkovic Diego Reforgiato Recupero Ehud Reiter Daniele Riboni Raymond Sterling AI4MH LM&MA 34 0 0 04 May 2024
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data David R. Bellamy Bhawesh Kumar Cindy Wang Andrew L. Beam MedIm 36 3 0 09 Dec 2023
Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche Gideon Dresdner Francesco Locatello Matthias Huser Gunnar Rätsch 24 46 0 09 Jun 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 92 1,377 0 14 Dec 2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction Junyi Gao Cao Xiao Yasha Wang Wen Tang Lucas Glass Jimeng Sun 37 92 0 24 Jan 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 242 1,780 0 02 Mar 2017