[HTML][HTML] Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …
Big data analytics to improve cardiovascular care: promise and challenges
The potential for big data analytics to improve cardiovascular quality of care and patient
outcomes is tremendous. However, the application of big data in health care is at a nascent …
outcomes is tremendous. However, the application of big data in health care is at a nascent …
Blockchain's coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem
The technological revolution in blockchain achieved the healthcare sector and offered a
significant opportunity to lead this digital transformation. A significant problem is that various …
significant opportunity to lead this digital transformation. A significant problem is that various …
[HTML][HTML] 2019 ACC expert consensus decision pathway on risk assessment, management, and clinical trajectory of patients hospitalized with heart failure: a report of …
SM Hollenberg, L Warner Stevenson, T Ahmad… - Journal of the American …, 2019 - jacc.org
The American College of Cardiology (ACC) has a long history of developing documents (eg,
decision pathways, health policy statements, appropriate use criteria) to provide members …
decision pathways, health policy statements, appropriate use criteria) to provide members …
Improving palliative care with deep learning
Background Access to palliative care is a key quality metric which most healthcare
organizations strive to improve. The primary challenges to increasing palliative care access …
organizations strive to improve. The primary challenges to increasing palliative care access …
Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction
Objectives: This study sought to develop models for predicting mortality and heart failure
(HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the …
(HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the …
2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on …
2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American
College of Cardiology Foundation/American Heart Association Task Force on Practice …
College of Cardiology Foundation/American Heart Association Task Force on Practice …
Analysis of machine learning techniques for heart failure readmissions
BJ Mortazavi, NS Downing, EM Bucholz… - … Quality and Outcomes, 2016 - Am Heart Assoc
Background—The current ability to predict readmissions in patients with heart failure is
modest at best. It is unclear whether machine learning techniques that address higher …
modest at best. It is unclear whether machine learning techniques that address higher …
Prediction of 30-day all-cause readmissions in patients hospitalized for heart failure: comparison of machine learning and other statistical approaches
JD Frizzell, L Liang, PJ Schulte, CW Yancy… - JAMA …, 2017 - jamanetwork.com
Importance Several attempts have been made at developing models to predict 30-day
readmissions in patients with heart failure, but none have sufficient discriminatory capacity …
readmissions in patients with heart failure, but none have sufficient discriminatory capacity …
Risk prediction models for hospital readmission: a systematic review
D Kansagara, H Englander, A Salanitro, D Kagen… - Jama, 2011 - jamanetwork.com
Context Predicting hospital readmission risk is of great interest to identify which patients
would benefit most from care transition interventions, as well as to risk-adjust readmission …
would benefit most from care transition interventions, as well as to risk-adjust readmission …