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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 56: Machine Learning for Healthcare Conference, 19-20 August 2016, Children's Hospital LA, Los Angeles, CA, USA

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Editors: Finale Doshi-Velez, Jim Fackler, David Kale, Byron Wallace, Jenna Wiens

[bib][citeproc]

Filter Authors: Filter Titles:

Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring

; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:1-16

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Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization

Shalmali Joshi, Suriya Gunasekar, David Sontag, Ghosh Joydeep; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:17-41

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Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data

Joseph Futoma, Mark Sendak, Blake Cameron, Katherine Heller; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:42-54

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Using Kernel Methods and Model Selection for Prediction of Preterm Birth

Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald Wapner; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:55-72

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Multi-task Prediction of Disease Onsets from Longitudinal Laboratory Tests

Narges Razavian, Jake Marcus, David Sontag; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:73-100

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Deep Survival Analysis

Rajesh Ranganath, Adler Perotte, Noémie Elhadad, David Blei; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:101-114

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Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy

Bilal Ahmed, Thomas Thesen, Karen Blackmon, Ruben Kuzniecky, Orrin Devinsky, Jennifer Dy, Carla Brodley; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:115-133

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gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity

Rhiannon Rose, Daniel Lizotte; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:134-149

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Transferring Knowledge from Text to Predict Disease Onset

Yun Liu, Collin Stultz, John Guttag, Kun-Ta Chuang, Kun-Ta Chuang, Fu-Wen Liang, Huey-Jen Su; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:150-163

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Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data

Truyen Tran, Wei Luo, Dinh Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:164-177

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Learning Robust Features using Deep Learning for Automatic Seizure Detection

Pierre Thodoroff, Joelle Pineau, Andrew Lim; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:178-190

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Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations

Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad, Ed Reznik, Satish Tickoo, Thomas Fuchs; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:191-208

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Clinical Tagging with Joint Probabilistic Models

Yoni Halpern, Steven Horng, David Sontag; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:209-225

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Diagnostic Prediction Using Discomfort Drawings with IBTM

Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo Bertilson; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:226-238

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Uncovering Voice Misuse Using Symbolic Mismatch

Marzyeh Ghassemi, Zeeshan Syed, Daryush Mehta, Jarrad Van Stan, Robert Hillman, John Guttag; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:239-252

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Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series

Zachary C Lipton, David Kale, Randall Wetzel; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:253-270

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Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics

John A Quinn, Rose Nakasi, Pius K. B. Mugagga, Patrick Byanyima, William Lubega, Alfred Andama; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:271-281

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A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves

Yanbo Xu, Yanxun Xu, Suchi Saria; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:282-300

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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun; Proceedings of the 1st Machine Learning for Healthcare Conference, PMLR 56:301-318

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