Congratulations to Qian Yang for being awarded the Center for Machine Learning and Health (CMLH) Fellowship in Digital Health for her work with the CORA Project! Yang and team have developed a decision support tool for healthcare providers that is radically different from other similar tools. Using machine learning, her tool mines patient information from electronic medical records […]
James Antaki presents The Future of HF Decision Aids, Tailored and Interactive Interfaces at the HFSA 20th Annual Scientific meeting.
AUTHOR Joseph G. Rogers, MD ABSTRACT The growing population of patients progressing to end-stage heart failure paradoxically represents our field’s greatest success and failure. Individuals with previously mortal heart diseases now survive as a result of improved diagnostics, therapeutic innovation, and focused patient care efforts across an array of cardiovascular conditions, particularly ischemic heart disease. Unfortunately, […]
AUTHORS: Natasha A. Loghmanpour PHD, Robert L. Kormos MD, Manreet K. Kanwar MD, Jeffrey J. Teuteberg MD, Srinivas Murali MD, James F. Antaki, PHD ABSTRACT OBJECTIVES This study investigates the use of a Bayesian statistical model to address the limited predictive capacity of existing risk scores derived from multivariate analyses. This is based on the hypothesis that it is necessary […]
James Antaki presents at the 10th Annual Meeting and Scientific Sessions of INTERMACS, March 11, 2016. Bayesian Models and Risk of Right Heart Failure JF Antaki, LE Lohmueller, NA Loghmanpour, RL Kormos, MK Kanwar, JJ Teuteberg, and S Murali A review of Bayesian network modeling and a new algorithm for calculating right heart failure risk after LVAD implantation.
AUTHORS Qian Yang, John Zimmerman, Aaron Steinfeld, Lisa Carey, James F. Antaki ABSTRACT Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of […]
AUTHORS: Qian Yang, John Zimmerman, Aaron Steinfeld, Lisa Carey, James F. Antaki ABSTRACT Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations […]
AUTHORS: Yohan Jo, Carnegie Mellon University | Natasha Loghmanpour, Carnegie Mellon University | Carolyn Penstein Rosé, Carnegie Mellon University ABSTRACT Accurate mortality prediction is an important task in intensive care units in order to channel prompt care to patients in the most critical condition and to reduce nurses’ alarm fatigue. Nursing notes carry valuable information in this regard, but nothing has been reported about […]
AUTHORS: Natasha A. Loghmanpour MS, Manreet K. Kanwar MD, Marek J. Druzdzel PhD, Raymond L. Benza MD, Srinivas Murali MD, and James F. Antaki PhD ABSTRACT Existing risk assessment tools for patient selection for left ventricular assist devices (LVADs) such as the Destination Therapy Risk Score (DTRS) and HeartMate II Risk Score (HMRS) have limited predictive ability. This study […]
AUTHORS Natasha A. Loghmanpour1, Marek J. Druzdzel2, James F. Antaki1 ABSTRACT This study investigated the use of Bayesian Networks (BNs) for left ventricular assist device (LVAD) therapy; a treatment for end-stage heart failure that has been steadily growing in popularity over the past decade. Despite this growth, the number of LVAD implants performed annually remains a small […]
