Clinical and operational insights from data-driven care pathway map**: a systematic review
M Manktelow, A Iftikhar, M Bucholc, M McCann… - BMC medical informatics …, 2022 - Springer
Background Accumulated electronic data from a wide variety of clinical settings has been
processed using a range of informatics methods to determine the sequence of care activities …
processed using a range of informatics methods to determine the sequence of care activities …
Long-term survival on LVAD support: device complications and end-organ dysfunction limit long-term success
IM Hariri, T Dardas, M Kanwar, R Cogswell… - The Journal of Heart and …, 2022 - Elsevier
Background Preoperative variables can predict short term left ventricular assist device
(LVAD) survival, but predictors of extended survival remain insufficiently characterized …
(LVAD) survival, but predictors of extended survival remain insufficiently characterized …
Artificial intelligence and mechanical circulatory support
Alan Turing initially explored the mathematical possibility of artificial intelligence (AI) in his
1950 paper, Computing Machinery and Intelligence, in which he conceptually discussed …
1950 paper, Computing Machinery and Intelligence, in which he conceptually discussed …
Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and
machine learning (ML) is a subset of AI describing the ability of machines to learn …
machine learning (ML) is a subset of AI describing the ability of machines to learn …
Machine learning approaches to analyzing adverse events following durable LVAD implantation
Background This study employed machine learning approaches to analyze sequences of
adverse events (AEs) after left ventricular assist device (LVAD) implantation. Methods Data …
adverse events (AEs) after left ventricular assist device (LVAD) implantation. Methods Data …
Identifying urban built environment factors in pregnancy care and maternal mental health outcomes
Backgrounds Risk factors related to the built environment have been associated with
women's mental health and preventive care. This study sought to identify built environment …
women's mental health and preventive care. This study sought to identify built environment …
Delineating pathways to death by multisystem organ failure in patients with a left ventricular assist device
Background This study delineates the sequences of adverse events (AEs) preceding
mortality attributed to multisystem organ failure (MSOF) in patients with a left ventricular …
mortality attributed to multisystem organ failure (MSOF) in patients with a left ventricular …
In search of similarity in adverse events journeys of patients with left ventricular assist devices
Abstract Objective The Interagency Registry for Mechanically Assisted Circulatory Support
(INTERMACS) Event data set contains an expansive collection of longitudinal evidence of …
(INTERMACS) Event data set contains an expansive collection of longitudinal evidence of …
A data mining-based cross-industry process for predicting major bleeding in mechanical circulatory support
SEA Felix, A Bagheri, FR Ramjankhan… - … Heart Journal-Digital …, 2021 - academic.oup.com
Aims Over a third of patients, treated with mechanical circulatory support (MCS) for end-
stage heart failure, experience major bleeding. Currently, the prediction of a major bleeding …
stage heart failure, experience major bleeding. Currently, the prediction of a major bleeding …
Artificial Intelligence and Machine Learning in MCS
This chapter provides a guide for mechanical circulatory support (MCS) clinicians on
relevant aspects of artificial intelligence (AI) and machine learning (ML). It reviews the …
relevant aspects of artificial intelligence (AI) and machine learning (ML). It reviews the …