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Publication search results
found 38 matches
- 2019
- Mohammad Akbari, Rumi Chunara:
Using Contextual Information to Improve Blood Glucose Prediction. MLHC 2019: 91-108 - Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - Ian C. Covert, Balu Krishnan, Imad Najm, Jiening Zhan, Matthew Shore, John Hixson, Ming Jack Po:
Temporal Graph Convolutional Networks for Automatic Seizure Detection. MLHC 2019: 160-180 - Surya Teja Devarakonda, Yeahuay Joie Wu, Yi Ren Fung, Madalina Fiterau:
FLARe: Forecasting by Learning Anticipated Representations. MLHC 2019: 53-65 - David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin:
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. MLHC 2019: 553-570 - Grace Guan, Barbara E. Engelhardt:
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis. MLHC 2019: 271-287 - Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang:
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation. MLHC 2019: 614-640 - Shiva Kaul, Anthony Falco, Karianne Anthes:
Measuring the Sympathetic Response to Intense Exercise in a Practical Setting. MLHC 2019: 680-703 - Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field:
A Neural Model for Predicting Dementia from Language. MLHC 2019: 270-286 - Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis. MLHC 2019: 571-591 - Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton:
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions. MLHC 2019: 663-679 - Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley:
Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC 2019: 592-613 - Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, Marzyeh Ghassemi:
Clinically Accurate Chest X-Ray Report Generation. MLHC 2019: 249-269 - Mark Mirtchouk, Dana L. McGuire, Andrea L. Deierlein, Samantha Kleinberg:
Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments. MLHC 2019: 641-662 - Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten M. Borgwardt:
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. MLHC 2019: 2-26 - Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. MLHC 2019: 140-159 - Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski:
Dynamically Personalized Detection of Hemorrhage. MLHC 2019: 109-123 - Bret Nestor, Matthew B. A. McDermott, Willie Boag, Gabriela Berner, Tristan Naumann, Michael C. Hughes, Anna Goldenberg, Marzyeh Ghassemi:
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks. MLHC 2019: 381-405 - Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens:
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC 2019: 27-52 - Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag, Marzyeh Ghassemi:
Learning from Few Subjects with Large Amounts of Voice Monitoring Data. MLHC 2019: 704-720 - Stephen R. Pfohl, Tony Duan, Daisy Yi Ding, Nigam H. Shah:
Counterfactual Reasoning for Fair Clinical Risk Prediction. MLHC 2019: 325-358 - Viraj Prabhu, Anitha Kannan, Murali Ravuri, Manish Chaplain, David A. Sontag, Xavier Amatriain:
Few-Shot Learning for Dermatological Disease Diagnosis. MLHC 2019: 532-552 - Youran Qi, Qi Tang:
Predicting Phase 3 Clinical Trial Results by Modeling Phase 2 Clinical Trial Subject Level Data Using Deep Learning. MLHC 2019: 288-303 - Bhanu Pratap Singh Rawat, Fei Li, Hong Yu:
Clinical Judgement Study using Question Answering from Electronic Health Records. MLHC 2019: 216-229 - Victor Alfonso Rodriguez, Adler J. Perotte:
Phenotype Inference with Semi-Supervised Mixed Membership Models. MLHC 2019: 304-324 - Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard:
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. MLHC 2019: 181-196 - Divya Shanmugam, Davis W. Blalock, John V. Guttag:
Multiple Instance Learning for ECG Risk Stratification. MLHC 2019: 124-139 - Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho:
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction. MLHC 2019: 230-248 - Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace:
Are Online Reviews of Physicians Biased Against Female Providers? MLHC 2019: 406-423
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