Follow
Subramani Mani
Title
Cited by
Cited by
Year
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
18012012
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
6712010
Unexplored therapeutic opportunities in the human genome
TI Oprea, CG Bologa, S Brunak, A Campbell, GN Gan, A Gaulton, ...
Nature Reviews Drug Discovery, 2018
3552018
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
3162011
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
2522016
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
2381995
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
2222010
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
1942014
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
1631996
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
1612012
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
1132011
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
862001
Beyond Concise and Colorful: Learning Intelligible Rules.
MJ Pazzani, S Mani, WR Shankle
KDD 97, 235-238, 1997
731997
A theoretical study of Y structures for causal discovery
S Mani, PL Spirtes, GF Cooper
arXiv preprint arXiv:1206.6853, 2012
712012
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
642013
Causal discovery using a Bayesian local causal discovery algorithm.
S Mani, GF Cooper
Medinfo, 731-735, 2004
642004
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
602012
Comprehensible knowledge discovery in databases
M Pazzani, S Mani, WR Shankle
Proceedings of the Nineteenth Annual Conference of the Cognitive Science …, 1997
471997
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
452011
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
451999
The system can't perform the operation now. Try again later.
Articles 1–20