Peter Szolovits - Academia.edu (original) (raw)

Papers by Peter Szolovits

Research paper thumbnail of An Open Natural Language Processing (NLP) Framework for EHR-based Clinical Research: A Case Demonstration Using the National COVID Cohort Collaborative (N3C)

Journal of the American Medical Informatics Association, Aug 14, 2023

Research paper thumbnail of Clinical Intervention Prediction and Understanding with Deep Neural Networks

Machine Learning for Healthcare Conference, Nov 6, 2017

Research paper thumbnail of Baselines for Chest X-Ray Report Generation

Research paper thumbnail of Racial Disparities and Mistrust in End-of-Life Care

arXiv (Cornell University), Aug 11, 2018

Research paper thumbnail of Knowledge Representation of Situation-Specific Clinical Practice Guidelines

Research paper thumbnail of Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Neural Information Processing Systems, Jun 23, 2020

Research paper thumbnail of De-identification of Patient Notes with Recurrent Neural Networks

arXiv (Cornell University), Jun 10, 2016

Research paper thumbnail of Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks

arXiv (Cornell University), Oct 30, 2018

Research paper thumbnail of Information acquisition in diagnosis

National Conference on Artificial Intelligence, Aug 18, 1982

Research paper thumbnail of Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes

Translational Psychiatry, Jan 11, 2021

Research paper thumbnail of Implementing electronic medical record systems in developing countries

Journal of innovation in health informatics, Jun 1, 2005

Research paper thumbnail of CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output

Machine Learning for Healthcare Conference, Jun 26, 2020

Research paper thumbnail of Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

arXiv (Cornell University), Dec 3, 2018

Research paper thumbnail of Unsupervised Multimodal Representation Learning across Medical Images and Reports

arXiv (Cornell University), Nov 21, 2018

Research paper thumbnail of The Use of Autoencoders for Discovering Patient Phenotypes

arXiv (Cornell University), Mar 20, 2017

Research paper thumbnail of Clinical Intervention Prediction and Understanding using Deep Networks

arXiv (Cornell University), May 23, 2017

Research paper thumbnail of Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

arXiv (Cornell University), May 23, 2017

Research paper thumbnail of Clinically Accurate Chest X-Ray Report Generation

Machine Learning for Healthcare Conference, Oct 28, 2019

Research paper thumbnail of Transfer learning for named-entity recognition with neural networks

Language Resources and Evaluation, May 1, 2018

Research paper thumbnail of Modeling Mistrust in End-of-Life Care

arXiv (Cornell University), Jun 30, 2018

Research paper thumbnail of An Open Natural Language Processing (NLP) Framework for EHR-based Clinical Research: A Case Demonstration Using the National COVID Cohort Collaborative (N3C)

Journal of the American Medical Informatics Association, Aug 14, 2023

Research paper thumbnail of Clinical Intervention Prediction and Understanding with Deep Neural Networks

Machine Learning for Healthcare Conference, Nov 6, 2017

Research paper thumbnail of Baselines for Chest X-Ray Report Generation

Research paper thumbnail of Racial Disparities and Mistrust in End-of-Life Care

arXiv (Cornell University), Aug 11, 2018

Research paper thumbnail of Knowledge Representation of Situation-Specific Clinical Practice Guidelines

Research paper thumbnail of Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Neural Information Processing Systems, Jun 23, 2020

Research paper thumbnail of De-identification of Patient Notes with Recurrent Neural Networks

arXiv (Cornell University), Jun 10, 2016

Research paper thumbnail of Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks

arXiv (Cornell University), Oct 30, 2018

Research paper thumbnail of Information acquisition in diagnosis

National Conference on Artificial Intelligence, Aug 18, 1982

Research paper thumbnail of Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes

Translational Psychiatry, Jan 11, 2021

Research paper thumbnail of Implementing electronic medical record systems in developing countries

Journal of innovation in health informatics, Jun 1, 2005

Research paper thumbnail of CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output

Machine Learning for Healthcare Conference, Jun 26, 2020

Research paper thumbnail of Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability

arXiv (Cornell University), Dec 3, 2018

Research paper thumbnail of Unsupervised Multimodal Representation Learning across Medical Images and Reports

arXiv (Cornell University), Nov 21, 2018

Research paper thumbnail of The Use of Autoencoders for Discovering Patient Phenotypes

arXiv (Cornell University), Mar 20, 2017

Research paper thumbnail of Clinical Intervention Prediction and Understanding using Deep Networks

arXiv (Cornell University), May 23, 2017

Research paper thumbnail of Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

arXiv (Cornell University), May 23, 2017

Research paper thumbnail of Clinically Accurate Chest X-Ray Report Generation

Machine Learning for Healthcare Conference, Oct 28, 2019

Research paper thumbnail of Transfer learning for named-entity recognition with neural networks

Language Resources and Evaluation, May 1, 2018

Research paper thumbnail of Modeling Mistrust in End-of-Life Care

arXiv (Cornell University), Jun 30, 2018