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Publication search results
found 42 matches
- 2020
- Yuan Luo, Chengsheng Mao:
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling. MLHC 2020: 27-45 - George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. MLHC 2020: 710-731 - Riddhiman Adib, Paul M. Griffin, Sheikh Iqbal Ahamed, Mohammad Adibuzzaman:
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model. MLHC 2020: 376-396 - Monica Agrawal, Chloe O'Connell, Yasmin Fatemi, Ariel Levy, David A. Sontag:
Robust Benchmarking for Machine Learning of Clinical Entity Extraction. MLHC 2020: 928-949 - Srikesh Arunajadai, Lulu Lee, Tom Haskell:
Addressing Sample Size Challenges in Linked Data Through Data Fusion. MLHC 2020: 352-375 - Hari Bandi, Dimitris Bertsimas:
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions. MLHC 2020: 121-142 - Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field:
Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language. MLHC 2020: 813-841 - Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit:
Using deep networks for scientific discovery in physiological signals. MLHC 2020: 685-709 - George H. Chen:
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. MLHC 2020: 537-565 - Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. MLHC 2020: 223-244 - Ian Fox, Joyce M. Lee, Rodica Pop-Busui, Jenna Wiens:
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control. MLHC 2020: 508-536 - Lovedeep Gondara, Ke Wang:
Differentially Private Survival Function Estimation. MLHC 2020: 271-291 - Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag:
Fast, Structured Clinical Documentation via Contextual Autocomplete. MLHC 2020: 842-870 - Hadia Hameed, Samantha Kleinberg:
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data. MLHC 2020: 871-894 - Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg, Antje Gottschalk, Martin Dugas, Christian Ertmer:
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions. MLHC 2020: 46-79 - Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir:
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. MLHC 2020: 732-749 - Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, David E. Carlson:
Attention-Based Network for Weak Labels in Neonatal Seizure Detection. MLHC 2020: 479-507 - Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens:
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts. MLHC 2020: 750-782 - Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC 2020: 143-171 - Mijung Kim, Ho-min Park, Jae Yoon Kim, Seong Hwan Kim, Sofie Hoeke, Wesley De Neve:
MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations. MLHC 2020: 292-308 - Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi:
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention. MLHC 2020: 245-270 - Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Towards Early Diagnosis of Epilepsy from EEG Data. MLHC 2020: 80-96 - Matthew B. A. McDermott, Tzu-Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, Peter Szolovits:
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output. MLHC 2020: 913-927 - Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC 2020: 632-659 - Andrew C. Miller, Nicholas J. Foti, Emily B. Fox:
Learning Insulin-Glucose Dynamics in the Wild. MLHC 2020: 172-197 - Do June Min, Verónica Pérez-Rosas, Shihchen Kuo, William H. Herman, Rada Mihalcea:
UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication. MLHC 2020: 895-912 - James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David A. Sontag:
Knowledge Base Completion for Constructing Problem-Oriented Medical Records. MLHC 2020: 198-222 - Samaneh Nasiri, Gari D. Clifford:
Attentive Adversarial Network for Large-Scale Sleep Staging. MLHC 2020: 457-478 - Bret Nestor, Liam G. McCoy, Amol Verma, Chloé Pou-Prom, Joshua Murray, Sebnem Kuzulugil, David Dai, Muhammad Mamdani, Anna Goldenberg, Marzyeh Ghassemi:
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. MLHC 2020: 950-972 - Athanasios Demetri Pananos, Daniel J. Lizotte:
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization. MLHC 2020: 397-417
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