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research [2020/07/20 18:03]
shyam [Learning electronic medical record system and computerized clinical decision support]
research [2020/07/20 18:04]
shyam [Causal discovery from biomedical data]
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 Publications: Publications:
  
-  * **VisweswaranS**. {{papers:2007_dissertation_learning_patient_specific_models_from_clinical_data.pdf|Learning patient-specific models from clinical data}}. Doctoral Dissertation, University of Pittsburgh, Sep 2007.+  * **Visweswaran S**. {{papers:2007_dissertation_learning_patient_specific_models_from_clinical_data.pdf|Learning patient-specific models from clinical data}}. Doctoral Dissertation, University of Pittsburgh, Sep 2007.
  
-  * **VisweswaranS**, CooperGF. {{papers:2004_instance-specific_bayesian_model_averaging_for_classification.pdf|Instance-specific Bayesian model averaging for classification}}. In: Advances in Neural Information Processing Systems (NIPS 2004) (Dec 2004) 1449-56.+  * **Visweswaran S**, Cooper GF. {{papers:2004_instance-specific_bayesian_model_averaging_for_classification.pdf|Instance-specific Bayesian model averaging for classification}}. In: Advances in Neural Information Processing Systems (NIPS 2004) (Dec 2004) 1449-56.
  
-  * **VisweswaranS**, CooperGF. {{papers:2005_patient-specific_models_for_predicting_the_outcomes_of_patients_with_community_acquired_pneumonia.pdf|Patient-specific models for predicting the outcomes of patients with community acquired pneumonia}}. In: Proceedings of the Fall Symposium of the American Medical Informatics Association. 2005; 2005:759-63.+  * **Visweswaran S**, Cooper GF. {{papers:2005_patient-specific_models_for_predicting_the_outcomes_of_patients_with_community_acquired_pneumonia.pdf|Patient-specific models for predicting the outcomes of patients with community acquired pneumonia}}. In: Proceedings of the Fall Symposium of the American Medical Informatics Association. 2005; 2005:759-63.
  
-  * **VisweswaranS**, AngusDC, HsiehM, WeissfeldL, YealyD, CooperGF. {{papers:2010_learning_patient-specific_predictive_models_from_clinical_data.pdf|Learning patient-specific predictive models from clinical data}}. Journal of Biomedical Informatics. 2010 Oct;43(5):669-85.+  * **Visweswaran S**, Angus DC, Hsieh M, Weissfeld L, Yealy D, Cooper GF. {{papers:2010_learning_patient-specific_predictive_models_from_clinical_data.pdf|Learning patient-specific predictive models from clinical data}}. Journal of Biomedical Informatics. 2010 Oct;43(5):669-85.
  
-  * **VisweswaranS**, CooperGF. {{papers:2010_learning_instance-specific_predictive_models.pdf|Learning instance-specific predictive models}}. Journal of Machine Learning Research. 2010 Dec; 11:3369-3405.+  * **Visweswaran S**, Cooper GF. {{papers:2010_learning_instance-specific_predictive_models.pdf|Learning instance-specific predictive models}}. Journal of Machine Learning Research. 2010 Dec; 11:3369-3405.
  
-  * **VisweswaranS**, FerreiraA, CooperGF. {{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|Personalized modeling for prediction with decision-path models}}. PLoS One. 2015 Jun 22;10(6):e0131022.+  * **Visweswaran S**, Ferreira A, Cooper GF. {{papers:2015_personalized_modeling_for_prediction_with_decision-path_models.pdf|Personalized modeling for prediction with decision-path models}}. PLoS One. 2015 Jun 22;10(6):e0131022.
  
   * Jabbari F, **Visweswaran S**, Cooper GF. {{papers:2018_instance-specific_bayesian_network_structure_learning.pdf|Instance-specific Bayesian network structure learning}}. In: The 9th International Conference on Probabilistic Graphical Models. 2018 Sep 11 – 14.   * Jabbari F, **Visweswaran S**, Cooper GF. {{papers:2018_instance-specific_bayesian_network_structure_learning.pdf|Instance-specific Bayesian network structure learning}}. In: The 9th International Conference on Probabilistic Graphical Models. 2018 Sep 11 – 14.
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 Publications: Publications:
  
-  * StokesME, **VisweswaranS**. {{papers:2012_application_of_a_spatially-weighted_relief_algorithm_for_ranking_genetic_predictors_of_disease.pdf|Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease}}. BioData Mining. 2012 Dec 3; 5(1):20.+  * Stokes ME, **Visweswaran S**. {{papers:2012_application_of_a_spatially-weighted_relief_algorithm_for_ranking_genetic_predictors_of_disease.pdf|Application of a spatially-weighed Relief algorithm for ranking genetic predictors of disease}}. BioData Mining. 2012 Dec 3; 5(1):20.
  
-  * StroblEV, **VisweswaranS**. {{papers:2013_deep_multiple_kernel_learning.pdf|Deep multiple kernel learning}}. In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17.+  * Strobl EV, **Visweswaran S**. {{papers:2013_deep_multiple_kernel_learning.pdf|Deep multiple kernel learning}}. In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA'13). 2013 Dec 4; 2013:414-17.
  
-  * StroblEV, **VisweswaranS**. {{papers:2013_markov_blanket_ranking_using_kernel-based_conditional_dependence_measures.pdf|Markov blanket discovery using kernel-based conditional dependence measures}}. In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. (Dec 2013).+  * Strobl EV, **Visweswaran S**. {{papers:2013_markov_blanket_ranking_using_kernel-based_conditional_dependence_measures.pdf|Markov blanket discovery using kernel-based conditional dependence measures}}. In: Proceedings of the NIPS 2013 Workshop on Causality, Lake Tahoe, NV. (Dec 2013).
  
-  * StokesME, BarmadaMM, KambohMI, **VisweswaranS**. {{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data}}. BMC Genomics. 2014 Apr 14;15(1):282.+  * Stokes ME, Barmada MM, Kamboh MI, **Visweswaran S**. {{papers:2014_the_application_of_network_label_propagation_to_rank_biomarkers_in_genome-wide_alzheimers_data.pdf|The application of network label propagation to rank biomarkers in genome-wide Alzheimer's data}}. BMC Genomics. 2014 Apr 14;15(1):282.
  
-  * Strobl EV, **VisweswaranS**. [[https://arxiv.org/abs/1702.03877|Approximate kernel-based conditional independence tests for fast non-parametric causal discovery]]. Journal of Causal Inference. 2019 Mar; 4(1):31-48.+  * Strobl EV, **Visweswaran S**. [[https://arxiv.org/abs/1702.03877|Approximate kernel-based conditional independence tests for fast non-parametric causal discovery]]. Journal of Causal Inference. 2019 Mar; 4(1):31-48.
  
-  * Strobl EV, **VisweswaranS**. [[https://arxiv.org/abs/1905.10330|Dirac delta regression: Conditional density estimation with clinical trials]]. arXiv preprint arXiv:1905.10330, 2019.+  * Strobl EV, **Visweswaran S**. [[https://arxiv.org/abs/1905.10330|Dirac delta regression: Conditional density estimation with clinical trials]]. arXiv preprint arXiv:1905.10330, 2019.
  
 ==== Research data warehousing ==== ==== Research data warehousing ====