Shyam Visweswaran, MD, PhD

Machine learning classifiers for Twitter surveillance of vaping: Comparative machine learning study.

Visweswaran S, Colditz JB, O’Halloran P, Han NR, Taneja SB, Welling J, Chu KH, Sidani JE, Primack BA. Machine learning classifiers for Twitter surveillance of vaping: Comparative machine learning study. Journal of Medical Internet Research.  2020;22(8):e17478. PMID: 32784184

Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Yu K, Visweswaran S, Batmanghelich K.  Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space.  arXiv 1 June 2020. arXiv.org.  arXiv:2006.00986

Exploring novel graphical presentations of clinical data in a Learning Electronic Medical Record

Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser.  Exploring novel graphical presentations of clinical data in a Learning Electronic Medical Record. Appl Clin Inform 2020; 11(04): 680-691. DOI: 10.1055/s-0040-1709707. PMID: 33058103

Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods

Trivedi G, Hong C, Dadashzadeh ER, Handzel RM, Hochheiser H, Visweswaran S. Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. International Journal of Medical Informatics. 2019 Sept 129; 81-7. DOI: 10.1016/j.ijmedinf.2019.05.021 PMID:31445293 PMCID: PMC 6717529

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

Seymour CW, Kennedy JN, Wang S, Chang CH, Elliott CF, Xu Z, Berry S, Clermont G, Cooper G, Gomez H, Huang DT, Kellum JA, Mi Q, Opal SM, Talisa V, van der Poll T, Visweswaran S, Vodovotz Y, Weiss JC, Yealy DM, Yende S, Angus DC. Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. Journal of the American Medical Association ( 2019). doi:10.1001/jama.2019.5791. PMID: 31104070 PMCID: PMC6537818

Using machine learning to selectively highlight patient information

King A, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Using machine learning to selectively highlight patient information. Journal of Biomedical Informatics.  2019; Oct 29;100:103327. DOI: 1016/j.jbi.2019.103329. PMID: 31676461; PMCID: PMC6932869 [Available on 2020-12-01].

Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports

 

Trivedi G, Dadashzadeh ER, Handzel RM, Chapman WW, Visweswaran S, Hochheiser H. Interactive NLP in clinical care: Identifying incidental findings in radiology reports. Applied Clinical Informatics. 2019 10:04 doi:10.1055/s-0039.1695791. PMID: 31286058 PMCID: PMC6727024

Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-Specific P-Values

Strobl EV, Spirtes PL, Visweswaran S.  Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-Specific P-Values.  AMC Transactions on Intelligent Systems and Technology. 2019 Oct 10:10(5):46.

Patient-Specific Explanations for Predictions of Clinical Outcomes

Mohammadamin Tajgardoon, Malarkodi J. Samayamuthu, Luca Calzoni, Shyam Visweswaran.  Patient-Specific Explanations for Predictions of Clinical Outcomes.  Applied Clinical Informatics (ACI) Journal.  2019; 03(02): e88-e97. DOI: 10.1055/s-0039-1697907.

Instance-Specific Bayesian Network Structure Learning

Jabbari F, Viswewaran S, Cooper GF. Instance-Specific Bayesian Network Structure Learning. Proceedings of the International Conference on Probabilistic Graphical Models (2018) Sep;72:169-180.  PMID: 30775723. PMCID: PMC6376975.

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