Jonathan H. Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
4
Active years
2005–2024
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AAAI | MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. | Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah |
| 2022 | AMIA | How to Avoid Incorrect Clinical Machine Learning Model Performance Estimates When Class Labels Are Only Partially Observed. | Conor K. Corbin, Michael T. M. Baiocchi, Jonathan H. Chen |
| 2022 | AMIA | Modifiable Inpatient Cost Variability at a Large Academic Medical Center. | Kush Gupta, Jason Hom, Ted Ross, Jonathan Masterson, Alexander Chin, Arnold Milstein, Jonathan H. Chen |
| 2022 | AMIA | Gaps in Nephrology Referral Care Utilization in Patients at High-Risk of Progression to Kidney Failure. | Samson Peter, Maggie Wang, Chi D. Chu, Delphine S. Tuot, Arhana Chattopadhyay, Jonathan H. Chen |
| 2022 | AMIA | Leveraging EHR Audit Log Data to Unlock New Insights into Care Processes and Outcomes. | Christian Rose, Robert Thombley, Morteza Noshad, Ron Li, Wendy Lu, Heather A Clancy, David Schlessinger, Vincent X. Liu, Jonathan H. Chen, Julia Adler-Milstein |
| 2021 | AMIA | A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department. | Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen |
| 2021 | AMIA | A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral. | Wui Ip, Priya Prahalad, Jonathan Palma, Jonathan H. Chen |
| 2021 | AMIA | Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine. | Grace Y. E. Kim, Morteza Noshad, Henning Stehr, Rebecca Rojansky, Dita Gratzinger, Jean Oak, Rondeep Brar, David Iberri, Christina Kong, James L. Zehnder, Jonathan H. Chen |
| 2021 | AMIA | Randomized user testing of recommender system clinical decision support. | Andre Kumar, Rachael C. Aikens, Jason Horn, Lisa Shieh, Mark A. Musen, Michael T. M. Baiocchi, Russ B. Altman, Mary K. Goldstein, Steven M. Asch, Jonathan H. Chen |
| 2021 | AMIA | Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. | Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael T. M. Baiocchi, Christian Rose, Jonathan H. Chen |
| 2021 | AMIA | Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps. | Christian Rose, Morteza Noshad, Jonathan H. Chen |
| 2021 | PSB | Computational Challenges and Artificial Intelligence in Precision Medicine. | Olga Afanasiev, Joanne Berghout, Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jonathan H. Chen, Roxana Daneshjou, Lukasz Kidzinski |
| 2020 | AMIA | It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery. | Ron C. Li, Naveen Muthu, Margaret Smith, Swaminathan Kandaswamy, Jonathan H. Chen |
| 2020 | AMIA | Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes. | Morteza Noshad, Christian Rose, Robert Thombley, Jonathan Chiang, Conor K. Corbin, Minh Nguyen, Vincent X. Liu, Julia Adler-Milstein, Jonathan H. Chen |
| 2020 | AMIA | Data-Driven Clinical Decision Support for Computerized Physician Order Entry: Development, Evaluation, and Implementation. | Yiye Zhang, Jonathan H. Chen, Adam Wright, Jessica S. Ancker, Marc Tobias |
| 2020 | PSB | Session Introduction. | Roxana Daneshjou, Lukasz Kidzinski, Olga Afanasiev, Jonathan H. Chen |
| 2019 | AMIA | Detecting unanticipated actions downstream from clinical decision support: a data mining approach. | Ron C. Li, Imon Banerjee, Daniel L. Rubin, Jonathan H. Chen |
| 2019 | AMIA | Prevalence and Predictability of Low Yield Inpatient Laboratory Diagnostic Tests. | Song Xu, Jason Horn, Santhosh Balasubramanian, Lee F. Schroeder, Nader Najafi, Shivaal Roy, Jonathan H. Chen |
| 2018 | AMIA | Machine Learning Predictable Inpatient Lab Results for High-Value Care. | Santhosh Balasubramanian, Jason Hom, Shivaal Roy, Jonathan H. Chen |
| 2018 | AMIA | A "bottom up" data driven approach to curating electronic order sets. | Ron C. Li, Jason K. Wang, Christopher D. Sharp, Jonathan H. Chen |
| 2017 | AMIA | Impact of Clinician Experience on Machine Learned Clinical Order Patterns. | Jason K. Wang, Alejandro Schuler, Nigam Shah, Jonathan H. Chen |
| 2017 | PSB | The Training of Next Generation Data Scientists in Biomedicine. | Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn |
| 2016 | AMIA | Usability of an Automated Recommender System for Clinical Order Entry. | Jonathan H. Chen, Mary K. Goldstein, Steven M. Asch, Russ B. Altman |
| 2016 | PSB | Dynamically Evolving Clinical Practices and Implications for Predicting Medical Decisions. | Jonathan H. Chen, Mary K. Goldstein, Steven M. Asch, Russ B. Altman |
| 2014 | AMIA | "Doctors who ordered this also ordered..." Automated physician order recommendations and outcome predictions by data-mining electronic medical records. | Jonathan H. Chen, Russ B. Altman |
| 2005 | ISMB | Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity. | Sanjay Joshua Swamidass, Jonathan H. Chen, Jocelyne Bruand, Peter Phung, Liva Ralaivola, Pierre Baldi |