Subramani Mani

	2012
17		Yukun Chen, Subramani Mani, Hua Xu: Applying active learning to assertion classification of concepts in clinical text. Journal of Biomedical Informatics 45(2): 265-272 (2012)
	2011
16		Min Jiang, Yukun Chen, Mei Liu, S. Trent Rosenbloom, Subramani Mani, Joshua C. Denny, Hua Xu: A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. JAMIA 18(5): 601-606 (2011)
	2010
15		Mei Liu, Joshua C. Denny, Subramani Mani, Yukun Chen, Yong Hu, Hua Xu: Identifying potential drugs that induce QT prolongation using electronic medical records. BMC Bioinformatics 11(S-4): P2 (2010)
14		Subramani Mani: Letter: Note on Friedman's 'fundamental theorem of biomedical informatics'. JAMIA 17(5): 614 (2010)
13		Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos: Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. Journal of Machine Learning Research 11: 171-234 (2010)
12		Constantin F. Aliferis, Alexander R. Statnikov, Ioannis Tsamardinos, Subramani Mani, Xenofon D. Koutsoukos: Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions. Journal of Machine Learning Research 11: 235-284 (2010)
11		Subramani Mani, Constantin F. Aliferis, Alexander R. Statnikov: Bayesian Algorithms for Causal Data Mining. Journal of Machine Learning Research - Proceedings Track 6: 121-136 (2010)
	2007
10		Subramani Mani, Constantin F. Aliferis: A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data. AIME 2007: 446-450
9		Subramani Mani, Constantin F. Aliferis, Shanthi Krishnaswami, Theodore Kotchen: Learning Causal and Predictive Clinical Practice Guidelines from Data. MedInfo 2007: 850-854
	2006
8		Subramani Mani, Gregory F. Cooper, Peter Spirtes: A Theoretical Study of Y Structures for Causal Discovery. UAI 2006
	2005
7		Subramani Mani, Marco Valtorta, Suzanne McDermott: Building Bayesian Network Models in Medicine: The MENTOR Experience. Appl. Intell. 22(2): 93-108 (2005)
	1999
6		Subramani Mani, Gregory F. Cooper: Causal Discovery from Population-Based Infant Birth and Death Records. AAAI/IAAI 1999: 973
5		Subramani Mani, Malcolm B. Dick, Michael J. Pazzani, Evelyn L. Teng, Daniel Kempler, I. Maribell Taussig: Refinement of Neuro-psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning. AIMDM 1999: 326-335
4		Subramani Mani, William Rodman Shankle, Malcolm B. Dick, Michael J. Pazzani: Two-Stage Machine Learning model for guideline development. Artificial Intelligence in Medicine 16(1): 51-71 (1999)
	1997
3		Subramani Mani, Michael J. Pazzani, John West: Knowledge Discovery from a Breast Cancer Database. AIME 1997: 130-133
2		William Rodman Shankle, Subramani Mani, Michael J. Pazzani, Padhraic Smyth: Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods. AIME 1997: 73-85
1		Michael J. Pazzani, Subramani Mani, William Rodman Shankle: Beyond Concise and Colorful: Learning Intelligible Rules. KDD 1997: 235-238

Coauthor Index

1	Constantin F. Aliferis	[9] [10] [11] [12] [13]
2	Yukun Chen	[15] [16] [17]
3	Gregory F. Cooper	[6] [8]
4	Joshua C. Denny	[15] [16]
5	Malcolm B. Dick	[4] [5]
6	Yong Hu	[15]
7	Min Jiang	[16]
8	Daniel Kempler	[5]
9	Theodore Kotchen	[9]
10	Xenofon D. Koutsoukos	[12] [13]
11	Shanthi Krishnaswami	[9]
12	Mei Liu	[15] [16]
13	Suzanne McDermott	[7]
14	Michael J. Pazzani	[1] [2] [3] [4] [5]
15	S. Trent Rosenbloom	[16]
16	William Rodman Shankle	[1] [2] [4]
17	Padhraic Smyth	[2]
18	Peter Spirtes	[8]
19	Alexander R. Statnikov	[11] [12] [13]
20	I. Maribell Taussig	[5]
21	Evelyn L. Teng	[5]
22	Ioannis Tsamardinos	[12] [13]
23	Marco Valtorta	[7]
24	John West	[3]
25	Hua Xu	[15] [16] [17]

Colors in the list of coauthors

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page