Joel T. Dudley
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
2
Active years
2012–2020
Best venue rank
National
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | PSB | Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. | Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley |
| 2020 | PSB | Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically RelevantDisease Subtypes. | Maxence Vandromme, Tomi Jun, Ponni Perumalswami, Joel T. Dudley, Andrea Branch, Li Li |
| 2019 | PSB | Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. | Kipp W. Johnson, Jessica K. De Freitas, Benjamin S. Glicksberg, Jason R. Bobe, Joel T. Dudley |
| 2018 | PSB | Automated disease cohort selection using word embeddings from Electronic Health Records. | Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley |
| 2018 | PSB | Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula. | Kipp W. Johnson, Benjamin S. Glicksberg, Rachel Hodos, Khader Shameer, Joel T. Dudley |
| 2018 | PSB | Loss-of-function of neuroplasticity-related genes confers risk for human neurodevelopmental disorders. | Milo R. Smith, Benjamin S. Glicksberg, Li Li, Rong Chen, Hirofumi Morishita, Joel T. Dudley |
| 2017 | PSB | Exploring the Reproducibility of Probabilistic Causal Molecular Network Models>. | Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel T. Dudley, Eric E. Schadt |
| 2017 | PSB | Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. | Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia H. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley |
| 2016 | ECIR | Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. | Riccardo Miotto, Li Li, Joel T. Dudley |
| 2015 | PSB | Session introduction. | Joel T. Dudley, Jennifer Listgarten, Oliver Stegle, Steven E. Brenner, Leopold Parts |
| 2015 | PSB | An Integrative Pipeline for Multi-Modal Discovery of Disease Relationships. | Benjamin S. Glicksberg, Li Li, Wei-Yi Cheng, Khader Shameer, Jrg Hakenberg, Rafael Castellanos, Meng Ma, Lisong Shi, Hardik Shah, Joel T. Dudley, Rong Chen |
| 2012 | PSB | Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine. | Konrad J. Karczewski, Robert P. Tirrell, Pablo Cordero, Nicholas P. Tatonetti, Joel T. Dudley, Keyan Salari, Michael Snyder, Russ B. Altman, Stuart K. Kim |