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Kipp W. Johnson
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2020 – today
- 2023
- [i1]Sonish Sivarajkumar, Pratyush Tandale, Ankit Bhardwaj, Kipp W. Johnson, Anoop Titus, Benjamin S. Glicksberg, Shameer Khader, Kamlesh K. Yadav, Lakshminarayanan Subramanian:
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning. CoRR abs/2311.17969 (2023) - 2021
- [j6]Ramya Dhatri Vunikili, Benjamin S. Glicksberg, Kipp W. Johnson, Joel T. Dudley, Lakshminarayanan Subramanian, Khader Shameer:
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients. Frontiers Artif. Intell. 4: 742723 (2021) - [j5]Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto:
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns 2(9): 100337 (2021) - 2020
- [j4]Andrew C. Liu, Krishna Patel, Ramya Dhatri Vunikili, Kipp W. Johnson, Fahad Abdu, Shivani Kamath Belman, Benjamin S. Glicksberg, Pratyush Tandale, Roberto Fontanez, Oommen K. Mathew, Andrew Kasarskis, Priyabrata Mukherjee, Lakshminarayanan Subramanian, Joel T. Dudley, Khader Shameer:
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses. Briefings Bioinform. 21(4): 1182-1195 (2020) - [c5]Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 2020: 14-25
2010 – 2019
- 2019
- [j3]Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A. Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte:
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35(21): 4515-4518 (2019) - [c4]Kipp W. Johnson, Jessica K. De Freitas, Benjamin S. Glicksberg, Jason R. Bobe, Joel T. Dudley:
Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. PSB 2019: 415-426 - 2018
- [j2]Khader Shameer, Benjamin S. Glicksberg, Rachel Hodos, Kipp W. Johnson, Marcus A. Badgeley, Ben Readhead, Max S. Tomlinson, Timothy O'Connor, Riccardo Miotto, Brian A. Kidd, Rong Chen, Avi Ma'ayan, Joel T. Dudley:
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 19(4): 656-678 (2018) - [j1]Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia H. Kovatch, Sabina Lim, Wayne K. Goodman, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley:
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics Decis. Mak. 18(S-3): 79:1-79:11 (2018) - [c3]Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley:
Automated disease cohort selection using word embeddings from Electronic Health Records. PSB 2018: 145-156 - [c2]Kipp W. Johnson, Benjamin S. Glicksberg, Rachel Hodos, Khader Shameer, Joel T. Dudley:
Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula. PSB 2018: 180-191 - 2017
- [c1]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:
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB 2017: 276-287
Coauthor Index
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