Jonathan H. Chen
Orcid: 0000-0002-4387-8740
According to our database1,
Jonathan H. Chen
authored at least 66 papers
between 2005 and 2024.
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Bibliography
2024
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine.
npj Digit. Medicine, 2024
Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization.
CoRR, 2024
CoRR, 2024
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.
CoRR, 2024
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
J. Am. Medical Informatics Assoc., December, 2023
Clinical outcome prediction using observational supervision with electronic health records and audit logs.
J. Biomed. Informatics, November, 2023
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record.
J. Am. Medical Informatics Assoc., August, 2023
Natural language processing system for rapid detection and intervention of mental health crisis chat messages.
npj Digit. Medicine, 2023
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
J. Biomed. Informatics, 2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery.
CoRR, 2023
2022
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care.
J. Biomed. Informatics, 2022
Team is brain: leveraging EHR audit log data for new insights into acute care processes.
J. Am. Medical Informatics Assoc., 2022
Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.
J. Am. Medical Informatics Assoc., 2022
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection.
CoRR, 2022
CoRR, 2022
Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes.
Proceedings of the AMIA 2022, 2022
Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure.
Proceedings of the AMIA 2022, 2022
Proceedings of the AMIA 2022, 2022
How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed.
Proceedings of the AMIA 2022, 2022
2021
J. Am. Medical Informatics Assoc., 2021
Developing machine learning models to personalize care levels among emergency room patients for hospital admission.
J. Am. Medical Informatics Assoc., 2021
Engaging Housestaff as Informatics Collaborators: Educational and Operational Opportunities.
Appl. Clin. Inform., 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
J. Am. Medical Informatics Assoc., 2020
OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.
J. Am. Medical Informatics Assoc., 2020
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles.
CoRR, 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Data-Driven Clinical Decision Support for Computerized Physician Order Entry: Development, Evaluation, and Implementation.
Proceedings of the AMIA 2020, 2020
Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.
Proceedings of the AMIA 2020, 2020
It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery.
Proceedings of the AMIA 2020, 2020
2019
Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.
J. Am. Medical Informatics Assoc., 2019
Proceedings of the AMIA 2019, 2019
Detecting unanticipated actions downstream from clinical decision support: a data mining approach.
Proceedings of the AMIA 2019, 2019
2018
An evaluation of clinical order patterns machine-learned from clinician cohorts stratified by patient mortality outcomes.
J. Biomed. Informatics, 2018
Impact of problem-based charting on the utilization and accuracy of the electronic problem list.
J. Am. Medical Informatics Assoc., 2018
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.
J. Am. Medical Informatics Assoc., 2017
Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.
Int. J. Medical Informatics, 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Problem based charting: a method for improving problem list utilization and completeness.
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the AMIA 2017, 2017
2016
OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records.
J. Am. Medical Informatics Assoc., 2016
Dynamically Evolving Clinical Practices and Implications for Predicting Medical Decisions.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Automated Organization of Electronic Health Record Data by Probabilistic Topic Modeling to Inform Clinical Decision Making.
Proceedings of the Summit on Clinical Research Informatics, 2016
Proceedings of the AMIA 2016, 2016
2014
"Doctors who ordered this also ordered..." Automated physician order recommendations and outcome predictions by data-mining electronic medical records.
Proceedings of the AMIA 2014, 2014
2011
2009
No Electron Left Behind: A Rule-Based Expert System To Predict Chemical Reactions and Reaction Mechanisms.
J. Chem. Inf. Model., 2009
2007
One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties.
J. Chem. Inf. Model., 2007
2006
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
2005
Bioinform., 2005
Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005