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Evaluating Progress on Machine Learning for Longitudinal Electronic
  Healthcare Data

Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data

2 October 2020
David R. Bellamy
L. A. Celi
Andrew L. Beam
    LM&MA
    OOD
ArXivPDFHTML

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

5 / 5 papers shown
Title
PhilHumans: Benchmarking Machine Learning for Personal Health
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
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
David R. Bellamy
Bhawesh Kumar
Cindy Wang
Andrew L. Beam
MedIm
28
3
0
09 Dec 2023
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
16
46
0
09 Jun 2021
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao
Cao Xiao
Yasha Wang
Wen Tang
Lucas Glass
Jimeng Sun
27
91
0
24 Jan 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
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
162
1,775
0
02 Mar 2017
1