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
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 16 1 0 14 Dec 2020
MEME: Generating RNN Model Explanations via Model Extraction Dmitry Kazhdan B. Dimanov M. Jamnik Pietro Lio LRM 18 13 0 13 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 10 43 0 30 Nov 2020
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning Batuhan Bardak Mehmet Tan 23 35 0 24 Nov 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 37 7 0 19 Nov 2020
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 13 64 0 06 Nov 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 4 0 0 21 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 30 34 0 16 Oct 2020
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings Vinith Suriyakumar Nicolas Papernot Anna Goldenberg Marzyeh Ghassemi OOD 24 64 0 13 Oct 2020
Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees Alfonso Gerevini R. Maroldi Matteo Olivato Luca Putelli Ivan Serina LM&MA 11 7 0 09 Oct 2020
Characterizing the Value of Information in Medical Notes Chao-Chun Hsu Shantanu Karnwal S. Mullainathan Ziad Obermeyer Chenhao Tan 10 19 0 07 Oct 2020
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data David R. Bellamy Leo Anthony Celi Andrew L. Beam LM&MA OOD 29 23 0 02 Oct 2020
Phenotypical Ontology Driven Framework for Multi-Task Learning Mohamed F. Ghalwash Zijun Yao Prithwish Chakraborty James Codella Daby M. Sow 20 3 0 04 Sep 2020
Large Dimensional Analysis and Improvement of Multi Task Learning Malik Tiomoko Ali Romain Couillet Hafiz Tiomoko 11 7 0 03 Sep 2020
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III) Anubhav Reddy Nallabasannagari M. Reddiboina R. Seltzer Trevor Zeffiro Ajay Sharma M. Bhandari 23 10 0 02 Sep 2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks Sam Verboven M. H. Chaudhary Jeroen Berrevoets Wouter Verbeke 4 6 0 26 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 14 202 0 24 Aug 2020
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation Tryambak Gangopadhyay Sin Yong Tan Zhanhong Jiang Rui Meng S. Sarkar AI4TS 24 45 0 11 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units linda Qiao Yanbo Xu Alind Khare Satria Priambada K. Maher Alaa Aljiffry Jimeng Sun Alexey Tumanov OOD 25 84 0 10 Aug 2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning Yiqin Yu Xu Min Shiwan Zhao Jing Mei Fei Wang Dongsheng Li Kenney Ng Shaochun Li 14 2 0 24 Jul 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 22 15 0 20 Jul 2020
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit Emma Rocheteau Pietro Lio Stephanie L. Hyland OOD 24 57 0 18 Jul 2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis Liantao Ma Xinyu Ma Junyi Gao Chaohe Zhang Zhihao Yu Xianfeng Jiao Wenjie Ruan Yasha Wang Wen Tang Jiangtao Wang OOD 14 5 0 17 Jul 2020
VAFL: a Method of Vertical Asynchronous Federated Learning Tianyi Chen Xiao Jin Yuejiao Sun W. Yin FedML 15 159 0 12 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation Rohan Kodialam Rebecca Boiarsky Justin Lim Neil Dixit Aditya Sai David Sontag 20 25 0 10 Jul 2020
AdaSGD: Bridging the gap between SGD and Adam Jiaxuan Wang Jenna Wiens 20 10 0 30 Jun 2020
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks Emma Rocheteau Pietro Lio Stephanie L. Hyland 20 3 0 29 Jun 2020
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning T. Nguyen Hyewon Jeong Eunho Yang Sung Ju Hwang 15 15 0 23 Jun 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data Chao Ma Sebastian Tschiatschek José Miguel Hernández-Lobato Richard Turner Cheng Zhang DRL VLM 11 66 0 21 Jun 2020
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility Sen Cui Weishen Pan Changshui Zhang Fei Wang 15 13 0 15 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 30 2 0 24 May 2020
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction Mohamed F. Ghalwash Zijun Yao Prithwish Chakraborty James Codella Daby M. Sow 17 2 0 13 May 2020
Aortic Pressure Forecasting with Deep Sequence Learning E. Huang Rui Wang Uma Chandrasekaran Rose Yu OOD 12 1 0 12 May 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining Yifan Peng Qingyu Chen Zhiyong Lu 8 112 0 06 May 2020
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks B. Shickel Tyler J. Loftus M. Ruppert Gilbert R. Upchurch T. Ozrazgat-Baslanti Parisa Rashidi A. Bihorac UQCV AI4CE 18 13 0 27 Apr 2020
Uncertainty estimation for classification and risk prediction on medical tabular data L. Meijerink Giovanni Cina Michele Tonutti 11 1 0 13 Apr 2020
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction K. Lybarger Mari Ostendorf Meliha Yetisgen 18 68 0 11 Apr 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases Luchen Liu Zequn Liu Haoxian Wu Zichang Wang Jianhao Shen Yiping Song Ming Zhang 17 19 0 11 Apr 2020
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time R. T. Sousa Lucas A. Pereira A. S. Soares AI4TS 38 3 0 20 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 10 171 0 11 Mar 2020
Anonymizing Data for Privacy-Preserving Federated Learning Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML 30 42 0 21 Feb 2020
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing Tianshu Hao Jianfeng Zhan K. Hwang Wanling Gao Xu Wen 9 1 0 10 Feb 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
A Communication Efficient Collaborative Learning Framework for Distributed Features Yang Liu Yan Kang Xinwei Zhang Liping Li Yong Cheng Tianjian Chen Mingyi Hong Qiang Yang FedML 19 75 0 24 Dec 2019
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks Anahita Hosseini Tyler Davis Majid Sarrafzadeh 18 4 0 22 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David A. Clifton 19 25 0 01 Dec 2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiantao Wang Wen Tang Xinyu Ma Xin Gao Junyi Gao 17 152 0 27 Nov 2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration Liantao Ma Junyi Gao Yasha Wang Chaohe Zhang Jiangtao Wang Wenjie Ruan Wen Tang Xin Gao Xinyu Ma OOD AI4TS 19 115 0 27 Nov 2019
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes G. Krishnan Sowmya S Kamath 18 3 0 26 Nov 2019