ATS: Application of Machine Learning in Pulmonary Arterial Hypertension Risk Stratification.
M. Kanwar , J. Kraisangka , L. Lohmueller , J.V. Scott , G. Strange , J. Anderson , M. Hoeper […]
Presentations
Presentations
ATS: Pulmonary Arterial Registry Risk Algorithms Improve Upon Clinical Trial Enrichment Methodology
Scott JV, Kanwar M, Garnett C, Stockbridge N, Benza RL. B27. UP-TO-DATE PAH ASSESSMENT AND MANAGEMENT: American Thoracic Society; 2020:A2920-A.
Presentations
CHEST: HEMODYNAMIC PARAMETERS IN PREDICTING SURVIVAL IN PULMONARY ARTERIAL HYPERTENSION
J.V. Scott, L.C. Lohmueller, Kraisangka J, M.K. Kanwar , R.L. Benza. Chest, Volume 156, Issue 4, Supplement, 2019, Pages A1173-A1174,
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Bayesian Network vs. Cox’s Proportional Hazard Model of PAH Risk: A Comparison
Kraisangka J., Druzdzel M.J., Lohmueller L.C., Kanwar M.K., Antaki J.F., Benza R.L. (2019) Bayesian Network vs. Cox’s Proportional Hazard Model
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ATS: Upfront Combination Versus Monotherapy in Pulmonary Arterial Hypertension (PAH): Can Advanced Risk Stratification Tell Us the Real Benefit?
J.V. Scott, L.C. Lohmueller , C.G. Garnett , M.K. Kanwar , R.L. Benza. A105 GLORY DAYS: THE LATEST CLINICAL RESEARCH
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The Use of Risk Assessment Tools and Prognostic Scores in Managing Patients with Pulmonary Arterial Hypertension.
Kanwar M, Raina A, Lohmueller L, Kraisangka J, Benza R. Current Hypertension Reports. 2019 Apr 25;21(6):45. doi: 10.1007/s11906-019-0950-y. Review. PMID:
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ISHLT: Derivation of a Bayesian Network Model from an Existing Risk Score Calculator for Pulmonary Arterial Hypertension
Purpose: We propose an alternative approach to the extensively validated REVEAL risk score calculator using Bayesian network (BN) modeling. We
Publications
A Bayesian Network Interpretation of the Cox’s Proportional Hazard Model
Kraisangka J, Druzdzel MJ. A Bayesian Network Interpretation of the Cox’s Proportional Hazard Model. Int J Approx Reason. 2018;103:195-211 Abstract