Multitask learning and benchmarking with clinical time series data

22 March 2017

Papers citing "Multitask learning and benchmarking with clinical time series data"

50 / 309 papers shown

Title
Correlative Channel-Aware Fusion for Multi-View Time Series Classification Yue Bai Lichen Wang Zhiqiang Tao Sheng Li Y. Fu AI4TS 16 2 0 24 Nov 2019
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning Wenlin Wang Hongteng Xu Zhe Gan Bai Li Guoyin Wang Liqun Chen Qian Yang Wenqi Wang Lawrence Carin BDL MedIm 21 14 0 20 Nov 2019
Towards unstructured mortality prediction with free-text clinical notes Mohammad Hashir R. Sawhney 31 39 0 19 Nov 2019
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series Yang Guo Zhengyuan Liu Pavitra Krishnaswamy Savitha Ramasamy BDL AI4TS AI4CE 28 5 0 18 Nov 2019
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records Prithwish Chakraborty Fei Wang Jianying Hu Daby M. Sow 17 3 0 15 Nov 2019
Discovering Invariances in Healthcare Neural Networks M. T. Bahadori Layne Price OOD 21 0 0 08 Nov 2019
The TCGA Meta-Dataset Clinical Benchmark Mandana Samiei Tobias Würfl T. Deleu Martin Weiss Francis Dutil T. Fevens G. Boucher S. Lemieux Joseph Paul Cohen 21 7 0 18 Oct 2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML OOD 17 175 0 07 Oct 2019
Blood lactate concentration prediction in critical care patients: handling missing values B. Mamandipoor Matthias Neumayer M. Moz Jens Grossklags 31 5 0 03 Oct 2019
Benchmarking machine learning models on multi-centre eICU critical care dataset Seyedmostafa Sheikhalishahi Vevake Balaraman V. Osmani OOD 14 69 0 02 Oct 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 38 145 0 26 Sep 2019
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning J. Deasy A. Ercole Pietro Lio OOD 24 2 0 17 Sep 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 3DH 19 146 0 13 Sep 2019
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing J. Deasy Pietro Lio A. Ercole 24 2 0 13 Sep 2019
Using Clinical Notes with Time Series Data for ICU Management Swaraj Khadanga Karan Aggarwal Chenyu You Jaideep Srivastava 8 55 0 12 Sep 2019
Learning Conceptual-Contextual Embeddings for Medical Text Xiao Zhang Dejing Dou Ji Wu BDL 14 17 0 16 Aug 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model Wenbo Gong Sebastian Tschiatschek Richard Turner Sebastian Nowozin José Miguel Hernández-Lobato Cheng Zhang BDL 9 19 0 13 Aug 2019
Advocacy Learning: Learning through Competition and Class-Conditional Representations Ian Fox Jenna Wiens SSL 25 2 0 07 Aug 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret A. Nestor Matthew B. A. McDermott Willie Boag G. Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 25 109 0 02 Aug 2019
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 12 138 0 23 Jul 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 34 205 0 19 Jul 2019
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach Riyi Qiu Yugang Jia M. Hadzikadic Michael F Dulin Xi Niu Xin Wang BDL 9 7 0 14 Jul 2019
Interpretable ICD Code Embeddings with Self- and Mutual-Attention Mechanisms Dixin Luo Hongteng Xu Lawrence Carin 11 5 0 13 Jun 2019
Selective prediction-set models with coverage guarantees Jean Feng A. Sondhi Jessica Perry N. Simon 14 7 0 13 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 18 117 0 10 Jun 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series Jeeheh Oh Jiaxuan Wang Shengpu Tang Michael Sjoding Jenna Wiens OOD 11 12 0 07 Jun 2019
A Case for Backward Compatibility for Human-AI Teams Gagan Bansal Besmira Nushi Ece Kamar Daniel S. Weld Walter S. Lasecki Eric Horvitz 10 8 0 04 Jun 2019
Evaluating recommender systems for AI-driven biomedical informatics William La Cava Heather Williams Weixuan Fu Steve Vitale Durga Srivatsan J. Moore 11 14 0 22 May 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care H. Overweg Anna-Lena Popkes A. Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang 33 24 0 07 May 2019
Temporal-Clustering Invariance in Irregular Healthcare Time Series M. T. Bahadori Zachary Chase Lipton AI4TS 22 29 0 27 Apr 2019
An Analysis of Attention over Clinical Notes for Predictive Tasks Sarthak Jain R. Mohammadi Byron C. Wallace 14 22 0 05 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks Priyanka Gupta Pankaj Malhotra Jyoti Narwariya L. Vig Gautam M. Shroff AI4TS 27 61 0 01 Apr 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL C. Chang Mingjie Mai Anna Goldenberg OffRL 17 19 0 24 Jan 2019
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden Dianbo Liu N. Sepulveda Ming Zheng 12 7 0 23 Dec 2018
Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients Avijit Mitra Khalid Ashraf 16 13 0 17 Dec 2018
Predicting Inpatient Discharge Prioritization With Electronic Health Records Anand Avati Stephen R. Pfohl Chris Lin Thao Nguyen Meng Zhang P. Hwang Jessica Wetstone Kenneth Jung A. Ng N. Shah 25 5 0 02 Dec 2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL C. Chang Mingjie Mai Anna Goldenberg OffRL 17 5 0 01 Dec 2018
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation Bret A. Nestor Matthew B. A. McDermott Geeticka Chauhan Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 17 35 0 30 Nov 2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning Mengqi Jin M. T. Bahadori Aaron Colak Parminder Bhatia B. Celikkaya ... Borui Zhang T. Doman Arun Ravi Matthieu Liger Taha A. Kass-Hout 20 68 0 29 Nov 2018
Learning Representations of Missing Data for Predicting Patient Outcomes Brandon M. Malone Alberto García-Durán Mathias Niepert 15 20 0 12 Nov 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun 10 235 0 22 Oct 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE Chao Ma Sebastian Tschiatschek Konstantina Palla José Miguel Hernández-Lobato Sebastian Nowozin Cheng Zhang 16 127 0 28 Sep 2018
Multi-task Learning for Financial Forecasting Tao Ma AIFin AI4TS 11 2 0 27 Sep 2018
Understanding Behavior of Clinical Models under Domain Shifts Jayaraman J. Thiagarajan Deepta Rajan P. Sattigeri OOD AI4CE 21 3 0 20 Sep 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling Hongteng Xu Wenlin Wang Wei Liu Lawrence Carin MedIm FedML 35 84 0 12 Sep 2018
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks Jeeheh Oh Jiaxuan Wang Jenna Wiens AI4TS MedIm 19 49 0 21 Aug 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data Yanbo Xu Siddharth Biswal S. Deshpande K. Maher Jimeng Sun 24 163 0 23 Jul 2018
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks Priyanka Gupta Pankaj Malhotra L. Vig Gautam M. Shroff 27 40 0 04 Jul 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU Harini Suresh Jen J. Gong John Guttag 28 85 0 07 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series Vincent Fortuin Matthias Huser Francesco Locatello Heiko Strathmann Gunnar Rätsch BDL AI4TS 37 140 0 06 Jun 2018