Article

Development and validation of a next-gen health stratification engine to determine risk for multiple cardiovascular diseases

2019-02-27

Abstract excerpt

Cardiometabolic diseases (CMD) impose greater impact on every aspect of health care than any other disease group. Accurate and in-time risk assessment of individuals for their propensity to develop CMD events is one of the most critical paths in preventing these conditions. The principal objective of the present study is to report the development, and validation of a next generation risk engine to predict CMD. UK...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 00280d2c-56ba-5a04-954b-67a79e09c5fb
DOI: 10.1101/562900

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of a next-gen health stratification engine to determine risk for multiple cardiovascular diseasesDOI 10.1101/562900Read

Cardiovascular risk scores for primary prevention: head-to-head validation of 16 established and contemporary modelsSemantic proximity Read

Appraising Cardiovascular 10-yr Risk Prediction Scores: A Rapid Systematic ReviewSemantic proximity Read

Prediction performance of a cardiovascular risk assessment tool using Stanford EHR data repositorySemantic proximity Read

Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participantsSemantic proximity Read

Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular diseaseSemantic proximity Read

Advancing cardiovascular disease risk prediction beyond conventional methods: a systematic review of multimodal machine learning models integrating traditional clinical factors and multi-omics dataSemantic proximity Read

An independent external validation of the QRISK3 cardiovascular risk prediction model applied to UK Biobank participantsSemantic proximity Read

Prioritizing acquired risk factors of atherosclerotic cardiovascular disease according to genetic predisposition: implications for precise prevention.Semantic proximity Read

Distribution of cardiovascular disease risk based on the updated 2023 guideline-recommended Australian cardiovascular disease risk algorithm and comparison with the 2012 algorithmSemantic proximity Read

Differences in estimates for ten-year risk of cardiovascular disease in Black versus white persons with identical risk factor profiles using pooled cohort equationsSemantic proximity Read

Development and validation of CMI5: a novel composite metabolic index for predicting cardiometabolic multimorbidity using routine health check-up dataSemantic proximity Read

Comparative Validation of ASCVD, Framingham Risk Score, Globorisk, and PREVENT for 10-Year Cardiovascular Risk Prediction in the UK BiobankSemantic proximity Read