Papers
242 papers found
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization
A. Demetri Pananos, Daniel J. Lizotte
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
Sarah Jabbour, David Fouhey, Ella Kazerooni et al.
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control
Ian Fox, Joyce Lee, Rodica Pop-Busui et al.
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
Lida Zhang, Nathan C. Hurley, Bassem Ibrahim et al.
Differentially Private Survival Function Estimation
Lovedeep Gondara, Ke Wang
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
Justin Lovelace, Nathan C. Hurley, Adrian D. Haimovich et al.
Evaluating and interpreting caption prediction for histopathology images
Renyu Zhang, Christopher Weber, Robert Grossman et al.
Fast, Structured Clinical Documentation via Contextual Autocomplete
Divya Gopinath, Monica Agrawal, Luke Murray et al.
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation
George Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains et al.
Knowledge Base Completion for Constructing Problem-Oriented Medical Records
James Mullenbach, Jordan Swartz, T. Greg McKelvey et al.
Learning Insulin-Glucose Dynamics in the Wild
Andrew C. Miller, Nicholas J. Foti, Emily Fox
Learning to Ask Medical Questions using Reinforcement Learning
Uri Shaham, Tom Zahavy, Cesar Caraballo et al.
MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations
Mijung Kim, Ho-min Park, Jae Yoon Kim et al.
Neural Conditional Event Time Models
Matthew Engelhard, Samuel Berchuck, Joshua D’Arcy et al.
Non-Invasive Classification of Alzheimer’s Disease Using Eye Tracking and Language
Oswald Barral, Hyeju Jang, Sally Newton-Mason et al.
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions
Hari Bandi, Dimitris Bertsimas
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling
Kristen A. Severson, Lana M. Chahine, Luba Smolensky et al.
Phenotyping with Prior Knowledge using Patient Similarity
Asif Rahman, Yale Chang, Bryan Conroy et al.
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
Yifeng Tao, Shuangxia Ren, Michael Q. Ding et al.
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine
Bret Nestor, Liam G. McCoy, Amol Verma et al.
Query-Focused EHR Summarization to Aid Imaging Diagnosis
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret et al.
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Monica Agrawal, Chloe O’Connell, Yasmin Fatemi et al.
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling
Yuan Luo, Chengsheng Mao
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging
Szu-Yen Hu, Shuhang Wang, Wei-Hung Weng et al.