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Results
Found 276 publication records. Showing 276 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Cliff Wong, Sheng Zhang, Yu Gu 0017, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon |
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.  |
MLHC  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace |
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen |
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaobin Shen 0002, Jonathan Elmer, George H. Chen |
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sharon Jiang, Shannon Shen 0001, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag |
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Behrouz, Margo I. Seltzer |
Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pranav Singh, Jacopo Cirrone |
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee |
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pranav Vaid, Serena Yeung, Anita Rau |
Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anil Palepu, Andrew Beam |
TIER: Text-Image Entropy Regularization for Medical CLIP-style models. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar |
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Danliang Ho, Mehul Motani |
Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jian Zhu, Ilya Valmianski, Anitha Kannan |
Dialogue-Contextualized Re-ranking for Medical History-Taking. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sameer Tajdin Khanna, Adam Dejl, Kibo Yoon, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar |
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler J. Perotte |
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Erkin Ötles, Brian T. Denton, Jenna Wiens |
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric W. Prince, Todd C. Hankinson, Carsten Görg |
EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuqing Wang, Yun Zhao 0001, Linda R. Petzold |
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan |
DuETT: Dual Event Time Transformer for Electronic Health Records. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ahmed Ammar Naseer, Benjamin Walker 0001, Christopher Landon, Andrew Ambrosy, Marat Fudim, Nicholas Wysham, Botros Toro, Sumanth Swaminathan, Terry J. Lyons |
ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Griffin Adams, Jason Zuckerg, Noémie Elhadad |
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Calhas, Rui Henriques |
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow |
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alexis Nolin-Lapalme, Robert Avram, Hussin Julie |
PrivECG: generating private ECG for end-to-end anonymization. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi |
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cheng Cheng 0001, Jeremy C. Weiss |
Typed Markers and Context for Clinical Temporal Relation Extraction. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter Krawitz, Cristina Conati, Benjamin D. Solomon, Elisabeth André |
Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hyungrok Do, Yuxin Chang, Yoon-Sang Cho, Padhraic Smyth, Judy Zhong |
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath |
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Faris F. Gulamali, Ashwin Sawant, Ira Hofer, Matthew A. Levin, Alexander Charney, Karandeep Singh, Benjamin S. Glicksberg, Girish N. Nadkarni |
Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Hasan Ferdous, Uzma Hasan, Md. Osman Gani |
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lida Zhang, Bobak J. Mortazavi |
Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland |
Sample-Specific Debiasing for Better Image-Text Models. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ahmed Elhussein, Gamze Gürsoy |
Privacy-preserving patient clustering for personalized federated learnings. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung (eds.) |
Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yamac Alican Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao |
Hawkes Process with Flexible Triggering Kernels. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sanjana Ramprasad, Elisa Ferracane, Sai P. Selvaraj |
Generating more faithful and consistent SOAP notes using attribute-specific parameters. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhe Huang, Benjamin S. Wessler, Michael C. Hughes |
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mercy Prasanna Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu |
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo |
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold |
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski |
Characterizing personalized effects of family information on disease risk using graph representation learning. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John V. Guttag, Nikhil Garg 0001, Emma Pierson |
Coarse race data conceals disparities in clinical risk score performance. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds |
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hao He, Yuan Yuan 0002, Ying-Cong Chen, Peng Cao, Dina Katabi |
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan |
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti |
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jay B. Patel, Syed Rakin Ahmed, Ken Chang, Praveer Singh, Mishka Gidwani, Katharina Hoebel, Albert Kim, Christopher P. Bridge, Chung-Jen Teng, Xiaomei Li, Gongwen Xu, Megan McDonald, Ayal Aizer, Wenya Linda Bi, K. Ina Ly, Bruce Rosen 0001, Priscilla K. Brastianos, Raymond Y. Huang, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer |
A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo |
Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. |
MLHC |
2023 |
DBLP BibTeX RDF |
|
| 1 | Amr Farahat, Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch |
Diagnosing Epileptogenesis with Deep Anomaly Detection. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Theresa Blümlein, Joel Persson, Stefan Feuerriegel |
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Christopher M. Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed M. Kantardzic |
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | William Boag, Mercy Oladipo, Peter Szolovits |
EHR Safari: Data is Contextual. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt |
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Khaled Saab 0002, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré |
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuhao Zhang 0004, Hang Jiang, Yasuhide Miura, Christopher D. Manning, Curtis P. Langlotz |
Contrastive Learning of Medical Visual Representations from Paired Images and Text. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yong Huang, Rui Cao, Amir-Mohammad Rahmani |
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski |
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Fernanda Ribeiro, Valentina Shumovskaia, Thomas Davies 0001, Ira Ktena |
How fair is your graph? Exploring fairness concerns in neuroimaging studies. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zepeng Huo, Xiaoning Qian, Shuai Huang 0001, Zhangyang Wang, Bobak J. Mortazavi |
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt |
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti |
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Carissa Wu, Sonali Parbhoo, Marton Havasi, Finale Doshi-Velez |
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Junwen Wang, Xin Du, Katayoun Farrahi, Mahesan Niranjan |
Deep Cascade Learning for Optimal Medical Image Feature Representation. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Aniek F. Markus, Peter R. Rijnbeek, Jenna Marie Reps |
Why predicting risk can't identify 'risk factors': empirical assessment of model stability in machine learning across observational health databases. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Anthony Li, Ming Lun Ong, Chien Wei Oei, Weixiang Lian, Hwee Pin Phua, Lin Htun Htet, Wei Yen Lim |
Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ebrahim Pourjafari, Navid Ziaei, Mohammad R. Rezaei, Amir Sameizadeh, Mohammad Shafiee, Mohammad Alavinia, Mansour Abolghasemian, Nick Sajadi |
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun 0001 |
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Magda Amiridi, Gregory Darnell, Sean Jewell |
Latent Temporal Flows for Multivariate Analysis of Wearables Data. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Nazanin Moradinasab, Yash Sharma 0002, Laura S. Shankman, Gary K. Owens, Donald E. Brown |
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Intae Moon, Stefan Groha, Alexander Gusev |
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Weiming Ren, Ruijing Zeng, Tongzi Wu, Tianshu Zhu, Rahul G. Krishnan |
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li 0026, Ding Zhao |
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner |
AudiFace: Multimodal Deep Learning for Depression Screening. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Uzma Hasan, Md. Osman Gani |
KCRL: A Prior Knowledge Based Causal Discovery Framework with Reinforcement Learning. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tanveer F. Syeda-Mahmood, Luyao Shi |
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg |
Error Amplification When Updating Deployed Machine Learning Models. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Trenton Chang, Michael W. Sjoding, Jenna Wiens |
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yariv Colbeci, Maya Zohar, Daniel Neimark, Dotan Asselmann, Omri Bar |
A Multi Instance Learning Approach for Critical View of Safety Detection in Laparoscopic Cholecystectomy. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Asem Alaa, Erik Mayer, Mauricio Barahona |
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung (eds.) |
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chirag Nagpal, Willa Potosnak, Artur Dubrawski |
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Josiah Aklilu, Serena Yeung |
ALGES: Active Learning with Gradient Embeddings for Semantic Segmentation of Laparoscopic Surgical Images. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre |
An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shigehiko Schamoni, Michael Hagmann, Stefan Riezler |
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu |
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xintian Han, Mark Goldstein, Rajesh Ranganath |
Survival Mixture Density Networks. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout |
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. |
MLHC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan |
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins 0001, Noemie Elhadad |
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi |
Knowledge Graph-based Question Answering with Electronic Health Records. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski |
Understanding Clinical Collaborations Through Federated Classifier Selection. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Erkin Ötles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens |
Mind the Performance Gap: Examining Dataset Shift During Prospective Validation. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun 0001 |
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yeachan Kim, Bonggun Shin |
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Daniela de Albuquerque, Jack Goffinet, Rachael Wright, John M. Pearson |
Deep Generative Analysis for Task-Based Functional MRI Experiments. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar |
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp |
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez |
Power Constrained Bandits. |
MLHC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Shreyas Bhave, Adler J. Perotte |
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data. |
MLHC |
2021 |
DBLP BibTeX RDF |
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