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publications [2020/07/20 17:45]
shyam [Journal papers and conference proceedings]
publications [2020/07/20 17:49]
shyam [Journal papers and conference proceedings]
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 **87. Using machine learning to predict the information seeking behavior of clinicians using an electronic medical record system**. \\ **87. Using machine learning to predict the information seeking behavior of clinicians using an electronic medical record system**. \\
-//KingAJ, CooperGF, HochheiserH, ClermontG, HauskrechtM, __VisweswaranS__//. \\+//King AJ, Cooper GF, Hochheiser H, Clermont G, Hauskrecht M, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2018 Nov 7. \\ In: AMIA Annual Symposium Proceedings. 2018 Nov 7. \\
 ([[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371238/|abstract & paper]]) ([[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371238/|abstract & paper]])
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 **30. Conditional outlier detection for clinical alerting**. \\ **30. Conditional outlier detection for clinical alerting**. \\
-//HauskrechtM, ValkoM, BatalI, ClermontG, __VisweswaranS__, CooperGF//. \\+//Hauskrecht M, Valko M, Batal I, Clermont G, __Visweswaran S__, Cooper GF//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:286-90. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:286-90. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21346986|abstract]]) ([[http://www.ncbi.nlm.nih.gov/pubmed/21346986|abstract]])
  
 **29. An efficient Bayesian method for predicting clinical outcomes from genome-wide data**. \\ **29. An efficient Bayesian method for predicting clinical outcomes from genome-wide data**. \\
-//CooperGF, Hennings-YeomansP, __VisweswaranS__, BarmadaMM//. \\+//Cooper GF, Hennings-Yeomans P, __Visweswaran S__, Barmada MM//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:127-31. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:127-31. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21346954|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/21346954|abstract]]) 
  
 **28. A fast algorithm for learning epistatic genomic relationships**. \\ **28. A fast algorithm for learning epistatic genomic relationships**. \\
-//JiangX, NeapolitanRE, BarmadaMM, __VisweswaranS__, CooperGF//. \\+//Jiang X, Neapolitan RE, Barmada MM, __Visweswaran S__, Cooper GF//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:341-5. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:341-5. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21346997|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/21346997|abstract]]) 
  
 **27. The use of semantic distance metrics to support ontology**. \\ **27. The use of semantic distance metrics to support ontology**. \\
-//WangJ, DayR, __VisweswaranS__, HoganW//. \\+//Wang J, Day R, __Visweswaran S__, Hogan W//. \\
 In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:842-6. \\ In: AMIA Annual Symposium Proceedings. 2010 Nov 13; 2010:842-6. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/21347097|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/21347097|abstract]]) 
  
 **26. Identifying genetic Interactions in genome-wide data using Bayesian networks**. \\ **26. Identifying genetic Interactions in genome-wide data using Bayesian networks**. \\
-//JiangX, BarmadaMM, __VisweswaranS__//. \\+//Jiang X, Barmada MM, __Visweswaran S__//. \\
 Genetic Epidemiology. 2010 Sep; 34(6):575-81. \\ Genetic Epidemiology. 2010 Sep; 34(6):575-81. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20568290|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20568290|abstract]]) 
  
 **25. Learning patient-specific predictive models from clinical data**. \\ **25. Learning patient-specific predictive models from clinical data**. \\
-//__VisweswaranS__, AngusDC, HsiehM, WeissfeldL, YealyD, CooperGF//. \\+//__Visweswaran S__, Angus DC, Hsieh M, Weissfeld L, Yealy D, Cooper GF//. \\
 Journal of Biomedical Informatics. 2010 Oct; 43(5):669-85. \\ Journal of Biomedical Informatics. 2010 Oct; 43(5):669-85. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20450985|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20450985|abstract]]) 
  
 **24. Candidate gene prioritization using network based probabilistic models**. \\ **24. Candidate gene prioritization using network based probabilistic models**. \\
-//WangS, HauskrechtM, __VisweswaranS__//. \\+//Wang S, Hauskrecht M, __Visweswaran S__//. \\
 In: Proceedings of the AMIA Summit on Translational Bioinformatics. 2010. In: Proceedings of the AMIA Summit on Translational Bioinformatics. 2010.
  
 **23. Bayesian rule learning for biomedical data mining**. \\ **23. Bayesian rule learning for biomedical data mining**. \\
-//GopalakrishnanV, LustgartenJL, __VisweswaranS__, CooperGF//. \\+//Gopalakrishnan V, Lustgarten JL, __Visweswaran S__, Cooper GF//. \\
 Bioinformatics. 2010 Mar 1; 26(5):668-75. \\ Bioinformatics. 2010 Mar 1; 26(5):668-75. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20080512|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20080512|abstract]]) 
  
 **22. Measuring stability of feature selection in biomedical datasets**. \\ **22. Measuring stability of feature selection in biomedical datasets**. \\
-//LustgartenJL, GopalakrishnanV, __VisweswaranS__//. \\+//Lustgarten JL, Gopalakrishnan V, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2009 Nov 14; 2009:406-10. \\ In: AMIA Annual Symposium Proceedings. 2009 Nov 14; 2009:406-10. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20351889|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20351889|abstract]]) 
  
 **21. A Bayesian method for identifying genetic interactions**. \\ **21. A Bayesian method for identifying genetic interactions**. \\
-//__VisweswaranS__, WongAI, BarmadaMM//. \\+//__Visweswaran S__, Wong AI, Barmada MM//. \\
 In: AMIA Annual Symposium Proceedings. 2009 Nov 14; 2009:673-7. \\ In: AMIA Annual Symposium Proceedings. 2009 Nov 14; 2009:673-7. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20351939|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20351939|abstract]]) 
  
 **20. Gene prioritization using a probabilistic knowledge model: A case study in Alzheimer’s disease**. \\ **20. Gene prioritization using a probabilistic knowledge model: A case study in Alzheimer’s disease**. \\
-//WangS, HauskrechtM, __VisweswaranS__//. \\+//Wang S, Hauskrecht M, __Visweswaran S__//. \\
 In: Proceedings of the IEEE-BIBM Workshop on Graph Techniques for Biomedical Networks. 2009 Nov 1; 2009. In: Proceedings of the IEEE-BIBM Workshop on Graph Techniques for Biomedical Networks. 2009 Nov 1; 2009.
  
 **19. Learning probabilistic knowledge model for document retrieval**. \\ **19. Learning probabilistic knowledge model for document retrieval**. \\
-//WangS, __VisweswaranS__, HauskrechtM//. \\+//Wang S, __Visweswaran S__, Hauskrecht M//. \\
 In: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR). 2009 Oct 6; 2009:60-71.  In: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR). 2009 Oct 6; 2009:60-71. 
  
 **18. Noninvasive correlates of subdural grid electrographic outcome**. \\ **18. Noninvasive correlates of subdural grid electrographic outcome**. \\
-//KalamangalamGP, MorrisHH, ManiJ, LachhwaniDK, __VisweswaranS__, BingamanWM//. \\+//Kalamangalam GP, Morris HH, Mani J, Lachhwani DK, __Visweswaran S__, Bingaman WM//. \\
 Journal of Clinical Neurophysiology. 2009 Oct; 26(5):333-41. \\ Journal of Clinical Neurophysiology. 2009 Oct; 26(5):333-41. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/20168131|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/20168131|abstract]]) 
  
 **17. Knowledge-based variable selection for rule learning on proteomic data**. \\ **17. Knowledge-based variable selection for rule learning on proteomic data**. \\
-//LustgartenJL, __VisweswaranS__, BowserRP, HoganWR, GopalakrishnanV//. \\+//Lustgarten JL, __Visweswaran S__, Bowser RP, Hogan WR, Gopalakrishnan V//. \\
 BMC Bioinformatics. 2009 Sep 17; 10 Suppl 9:S16. \\ BMC Bioinformatics. 2009 Sep 17; 10 Suppl 9:S16. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/19761570|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/19761570|abstract]]) 
  
 **16. Assessing the quality of prescribing and monitoring erythropoiesis stimulating agents in the nursing home setting**. \\ **16. Assessing the quality of prescribing and monitoring erythropoiesis stimulating agents in the nursing home setting**. \\
-//WongAI, StephensSB, AspinallMB, __VisweswaranS__, HanlonJT, HandlerSM//. \\+//Wong AI, Stephens SB, Aspinall MB, __Visweswaran S__, Hanlon JT, Handler SM//. \\
 Journal of the American Medical Directors. 2009 Jul; 10(6):436-9. \\ Journal of the American Medical Directors. 2009 Jul; 10(6):436-9. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/19560723|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/19560723|abstract]]) 
  
 **15. Improving a knowledge base for use in proteomic data analysis**. \\ **15. Improving a knowledge base for use in proteomic data analysis**. \\
-//LustgartenJL, GopalakrishnanV, HoganWR, __VisweswaranS__//. \\+//Lustgarten JL, Gopalakrishnan V, Hogan WR, __Visweswaran S__//. \\
 In: Proceedings of the Intelligent Data Analysis in Medicine And Pharmacology (IDAMAP-08). 2008 Nov 7; 2008:87-89. In: Proceedings of the Intelligent Data Analysis in Medicine And Pharmacology (IDAMAP-08). 2008 Nov 7; 2008:87-89.
  
 **14. Analysis of a failed clinical decision support system for management of congestive heart failure**. \\ **14. Analysis of a failed clinical decision support system for management of congestive heart failure**. \\
-//WadhwaR, FridsmaDB, SaulMI, PenrodLE, __VisweswaranS__, CooperGF, ChapmanW//. \\+//Wadhwa R, Fridsma DB, Saul MI, Penrod LE, __Visweswaran S__, Cooper GF, Chapman W//. \\
 In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:773-7. \\ In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:773-7. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/18999183|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/18999183|abstract]]) 
  
 **13. Assessing the performance characteristics of signals used by a clinical event monitor to detect adverse drug reactions in the nursing home**. \\ **13. Assessing the performance characteristics of signals used by a clinical event monitor to detect adverse drug reactions in the nursing home**. \\
-//HandlerSM, HanlonJT, PereraS, SaulMI, FridsmaDB, __VisweswaranS__, StudenskiSA, RoumaniYF, CastleNG, NaceDA, BecichMJ//. \\+//Handler SM, Hanlon JT, Perera S, Saul MI, Fridsma DB, __Visweswaran S__, Studenski SA, Roumani YF, Castle NG, Nace DA, Becich MJ//. \\
 In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:278-82. \\ In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:278-82. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/18998853|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/18998853|abstract]]) 
  
 **12. Improving classification performance with discretization on biomedical datasets**. \\ **12. Improving classification performance with discretization on biomedical datasets**. \\
-//LustgartenJL, GopalakrishnanV, GroverH, __VisweswaranS__//. \\+//Lustgarten JL, Gopalakrishnan V, Grover H, __Visweswaran S__//. \\
 In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:445-9. \\ In: AMIA Annual Symposium Proceedings. 2008 Nov 6; 2008:445-9. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/118999186|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/118999186|abstract]]) 
  
 **11. Conditional anomaly detection methods for patient–management alert systems**. \\ **11. Conditional anomaly detection methods for patient–management alert systems**. \\
-//ValkoM, CooperGF, SeybertA, __VisweswaranS__, SaulM, HauskrechtM//. \\+//Valko M, Cooper GF, Seybert A, __Visweswaran S__, Saul M, Hauskrecht M//. \\
 In: Proceedings of the Workshop on Machine Learning in Health Care Applications in The Twenty-Fifth International Conference on Machine Learning. 2008 Jul 9; 2008. \\ In: Proceedings of the Workshop on Machine Learning in Health Care Applications in The Twenty-Fifth International Conference on Machine Learning. 2008 Jul 9; 2008. \\
 ([[http://www.ncbi.nlm.nih.gov/pubmed/25392850|abstract]])  ([[http://www.ncbi.nlm.nih.gov/pubmed/25392850|abstract]])