Proceedings of the ACM Conference on Health, Inference, and Learning
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23

(FIVE YEARS 23)

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2

(FIVE YEARS 2)

Published By ACM

9781450370462

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384466 ◽

2020 ◽

Author(s):

Thomas Hooven ◽

Yun Chao Lin ◽

Ansaf Salleb-Aouissi

Keyword(s):

Necrotizing Enterocolitis ◽

Premature Infants ◽

Multiple Instance Learning ◽

Microbiome Data

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BMM-Net

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384447 ◽

2020 ◽

Author(s):

Ruru Zhang ◽

Jiawen He ◽

Shenda Shi ◽

Haihong E ◽

Zhonghong Ou ◽

...

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Extracting medical entities from social media

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384467 ◽

2020 ◽

Author(s):

Sanja Scepanovic ◽

Enrique Martin-Lopez ◽

Daniele Quercia ◽

Khan Baykaner

Keyword(s):

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Survival cluster analysis

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384465 ◽

2020 ◽

Author(s):

Paidamoyo Chapfuwa ◽

Chunyuan Li ◽

Nikhil Mehta ◽

Lawrence Carin ◽

Ricardo Henao

Keyword(s):

Cluster Analysis

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Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384450 ◽

2020 ◽

Author(s):

Niranjani Prasad ◽

Barbara Engelhardt ◽

Finale Doshi-Velez

Keyword(s):

Reinforcement Learning ◽

Policy Evaluation ◽

High Confidence ◽

Batch Reinforcement Learning

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Disease state prediction from single-cell data using graph attention networks

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384449 ◽

2020 ◽

Author(s):

Neal Ravindra ◽

Arijit Sehanobish ◽

Jenna L. Pappalardo ◽

David A. Hafler ◽

David van Dijk

Keyword(s):

Single Cell ◽

Disease State ◽

Attention Networks ◽

State Prediction ◽

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An adversarial approach for the robust classification of pneumonia from chest radiographs

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384458 ◽

2020 ◽

Author(s):

Joseph D. Janizek ◽

Gabriel Erion ◽

Alex J. DeGrave ◽

Su-In Lee

Keyword(s):

Chest Radiographs ◽

Robust Classification

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Adverse drug reaction discovery from electronic health records with deep neural networks

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384459 ◽

2020 ◽

Author(s):

Wei Zhang ◽

Zhaobin Kuang ◽

Peggy Peissig ◽

David Page

Keyword(s):

Neural Networks ◽

Adverse Drug Reaction ◽

Drug Reaction ◽

Electronic Health Records ◽

Deep Neural Networks ◽

Health Records ◽

Reaction Discovery ◽

Electronic Health

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Deidentification of free-text medical records using pre-trained bidirectional transformers

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384455 ◽

2020 ◽

Author(s):

Alistair E. W. Johnson ◽

Lucas Bulgarelli ◽

Tom J. Pollard

Keyword(s):

Medical Records ◽

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CaliForest

Proceedings of the ACM Conference on Health, Inference, and Learning ◽

10.1145/3368555.3384461 ◽

2020 ◽

Author(s):

Yubin Park ◽

Joyce C. Ho

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