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Subramani Mani

Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation
2010 · Constantin F. Aliferis, Alexander Statnikov, et al. · 482
Unexplored therapeutic opportunities in the human genome
2018 · Tudor I. Oprea, Cristian G. Bologa, et al. · Nature Reviews Drug Discovery · 364
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Erratum: Unexplored therapeutic opportunities in the human genome
2018 · Tudor I. Oprea, Cristian G. Bologa, et al. · Nature Reviews Drug Discovery · 304
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A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries
2011 · Min Jiang, Yukun Chen, et al. · Journal of the American Medical Informatics Association · 291
Pharos: Collating protein information to shed light on the druggable genome
2016 · Dac-Trung Nguyen, Stephen Mathias, et al. · Nucleic Acids Research · 272
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Medical decision support using machine learning for early detection of late-onset neonatal sepsis
2013 · Subramani Mani, Asli Ozdas, et al. · Journal of the American Medical Informatics Association · 192
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions
2010 · Constantin F. Aliferis, Alexander Statnikov, et al. · 163
A population-based analysis of specific behavior problems associated with childhood seizures
1995 · Suzanne McDermott, Subramani Mani, et al. · Journal of Epilepsy · 156
A Population-Based Analysis of Behavior Problems in Children with Cerebral Palsy
1996 · Suzanne McDermott, Ann L. Coker, et al. · Journal of Pediatric Psychology · 108
Type 2 diabetes risk forecasting from EMR data using machine learning.
2012 · Subramani Mani, Yukun Chen, et al. · PubMed Central · 101
Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases.
2011 · Hua Xu, Zhenming Fu, et al. · PubMed Central · 82
Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy
2013 · Subramani Mani, Yukun Chen, et al. · Journal of the American Medical Informatics Association · 59
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Applying active learning to assertion classification of concepts in clinical text
2011 · Yukun Chen, Subramani Mani, et al. · Journal of Biomedical Informatics · 55
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Beyond concise and colorful: learning intelligible rules
1997 · Michael J. Pazzani, Subramani Mani, et al. · 53
Causal Discovery Using A Bayesian Local Causal Discovery Algorithm
2004 · Mani Subramani, Cooper Gregory F. · Studies in health technology and informatics · 40
A theoretical study of Y structures for causal discovery
2006 · Subramani Mani, Peter Spirtes, et al. · 37
Detecting very early stages of dementia from normal aging with Machine Learning methods
1997 · William Rodman Shankle, Subramani Mani, et al. · Lecture notes in computer science · 35
TIN-X: target importance and novelty explorer
2017 · Daniel C Cannon, Jeremy J Yang, et al. · Bioinformatics · 33
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Two-Stage Machine Learning model for guideline development
1999 · Subramani Mani, William R Shankle, et al. · Artificial Intelligence in Medicine · 33
Detecting abbreviations in discharge summaries using machine learning methods.
2011 · Yonghui Wu, S Trent Rosenbloom, et al. · PubMed Central · 30
Causal discovery from medical textual data.
2000 · S Mani, G F Cooper · PubMed Central · 28
Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.
2011 · Subramani Mani, Yukun Chen, et al. · PubMed Central · 27
Building Bayesian Network Models in Medicine: The MENTOR Experience
2005 · Subramani Mani, Marco Valtorta, et al. · Applied Intelligence · 25
MENTOR: A bayesian model for prediction of mental retardation in newborns
1997 · S Mani · Research in Developmental Disabilities · 22
A study in causal discovery from population-based infant birth and death records.
1999 · S Mani, G F Cooper · PubMed Central · 20
Works count: 67
Citation count: 3,178
H-index: 23
I10-index: 31
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