Subramani Mani

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Michael J. PazzaniDistinguished Principal ScientistVerified email at isi.edu
Yukun ChenPieces Technologies Inc.Verified email at piecestech.com
Joshua C. DennyCEO, All of Us Research ProgramVerified email at nih.gov
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityVerified email at yale.edu
Gregory CooperProfessor of Biomedical Informatics, University of PittsburghVerified email at pitt.edu
Ioannis TsamardinosProfessor, Computer Science Department, University of CreteVerified email at csd.uoc.gr
Xenofon KoutsoukosVanderbilt UniversityVerified email at vanderbilt.edu
Kyle R AllisonAssistant Professor, Emory UniversityVerified email at emory.edu
Robert J. PrillIBM ResearchVerified email at us.ibm.com
James CostelloUniversity of Colorado Anschutz Medical CampusVerified email at ucdenver.edu
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
S Trent Rosenbloom MD MPH FACMI...Vanderbilt University Medical CenterVerified email at VUMC.org
Mei LiuAssociate Professor, University of FloridaVerified email at ufl.edu
H. Atakan VarolDirector of Institute of Smart Systems & AI (ISSAI) and Professor of Robotics, Nazarbayev UniversityVerified email at nu.edu.kz
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineVerified email at ics.uci.edu
Min JiangDirector of Natual Language Processing, Eli LillyVerified email at lilly.com
Thomas YankeelovDirector, Center for Computational Oncology, The University of Texas at AustinVerified email at utexas.edu
Jörn-Hendrik WeitkampProfessor of Pediatrics, Vanderbilt UniversityVerified email at vumc.org
Hui NianVanderbilt UniversityVerified email at vanderbilt.edu
Tudor OpreaCEO, Expert Systems IncVerified email at expertsystems.inc

Subramani Mani

Former faculty -- UNM-Albuquerque, Vanderbilt, UW-Milwaukee

Verified email at salud.unm.edu

clinical informatics translational informatics precision medicine machine learning causal


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Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature methods 9 (8), 796, 2012	1870	2012
Local causal and markov blanket induction for causal discovery and feature selection for classification part i: Algorithms and empirical evaluation CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (Jan), 171-234, 2010	711	2010
Unexplored therapeutic opportunities in the human genome TI Oprea, CG Bologa, S Brunak, A Campbell, GN Gan, A Gaulton, ... Nature Reviews Drug Discovery, 2018	415	2018
A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries M Jiang, Y Chen, M Liu, ST Rosenbloom, S Mani, JC Denny, H Xu Journal of the American Medical Informatics Association 18 (5), 601-606, 2011	335	2011
Pharos: Collating protein information to shed light on the druggable genome DT Nguyen, S Mathias, C Bologa, S Brunak, N Fernandez, A Gaulton, ... Nucleic acids research 45 (D1), D995-D1002, 2016	278	2016
A population-based analysis of specific behavior problems associated with childhood seizures S McDermott, S Mani, S Krishnawami Journal of epilepsy 8 (2), 110-118, 1995	245	1995
Local causal and markov blanket induction for causal discovery and feature selection for classification part ii: Analysis and extensions CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (Jan), 235-284, 2010	235	2010
Medical decision support using machine learning for early detection of late-onset neonatal sepsis S Mani, A Ozdas, C Aliferis, HA Varol, Q Chen, R Carnevale, Y Chen, ... Journal of the American Medical Informatics Association 21 (2), 326-336, 2014	218	2014
Type 2 diabetes risk forecasting from EMR data using machine learning S Mani, Y Chen, T Elasy, W Clayton, J Denny AMIA annual symposium proceedings 2012, 606, 2012	177	2012
A population-based analysis of behavior problems in children with cerebral palsy S McDermott, AL Coker, S Mani, S Krishnaswami, RJ Nagle, ... Journal of pediatric psychology 21 (3), 447-463, 1996	173	1996
Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases H Xu, Z Fu, A Shah, Y Chen, NB Peterson, Q Chen, S Mani, MA Levy, ... AMIA Annual Symposium Proceedings 2011, 1564, 2011	116	2011
Acceptance of rules generated by machine learning among medical experts MJ Pazzani, S Mani, WR Shankle Methods of information in medicine 40 (5), 380-385, 2001	91	2001
A theoretical study of Y structures for causal discovery S Mani, PL Spirtes, GF Cooper arXiv preprint arXiv:1206.6853, 2012	81	2012
Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy S Mani, Y Chen, X Li, L Arlinghaus, AB Chakravarthy, V Abramson, ... Journal of the American Medical Informatics Association 20 (4), 688-695, 2013	75	2013
Beyond Concise and Colorful: Learning Intelligible Rules. MJ Pazzani, S Mani, WR Shankle KDD 97, 235-238, 1997	72	1997
Causal discovery using a Bayesian local causal discovery algorithm. S Mani, GF Cooper Medinfo, 731-735, 2004	67	2004
Applying active learning to assertion classification of concepts in clinical text Y Chen, S Mani, H Xu Journal of biomedical informatics 45 (2), 265-272, 2012	64	2012
Comprehensible knowledge discovery in databases M Pazzani, S Mani, WR Shankle Proceedings of the Nineteenth Annual Conference of the Cognitive Science …, 1997	49	1997
Detecting abbreviations in discharge summaries using machine learning methods Y Wu, ST Rosenbloom, JC Denny, RA Miller, S Mani, DA Giuse, H Xu AMIA Annual Symposium Proceedings 2011, 1541, 2011	47	2011
Two-Stage Machine Learning model for guideline development S Mani, WR Shankle, MB Dick, MJ Pazzani Artificial intelligence in medicine 16 (1), 51-71, 1999	45	1999

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