Machine learning integration of multimodal data identifies key features of blood pressure regulation-Reference-Cited by-同舟云学术

Machine learning integration of multimodal data identifies key features of blood pressure regulation

Published:2022-10 Issue: Volume:84 Page:104243
ISSN:2352-3964
Container-title:eBioMedicine
language:en
Short-container-title:eBioMedicine

Author:

Louca Panayiotis,Tran Tran Quoc Bao^ORCID,Toit Clea du,Christofidou Paraskevi,Spector Tim D.,Mangino Massimo,Suhre Karsten,Padmanabhan Sandosh,Menni Cristina^ORCID

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference72 articles.

1. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017;Roth;Lancet North Am Ed,2018

2. Omics of blood pressure and hypertension;Arnett;Circ Res,2018

3. Genomics of hypertension: the road to precision medicine;Padmanabhan;Nat Rev Cardiol,2021

4. Genomic determinants of hypertension with a focus on metabolomics and the gut microbiome;Louca;Am J Hypertens,2020

5. Lessons in uncertainty and humility — clinical trials involving hypertension;Pfeffer;N Engl J Med,2016

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence;Canadian Journal of Cardiology;2024-07

2. Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data;BMC Medical Informatics and Decision Making;2024-05-02

3. Application of artificial intelligence in hypertension;Clinical Hypertension;2024-05-01

4. Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management;Cell Metabolism;2024-04

5. Multimodal learning system integrating electronic medical records and hysteroscopic images for reproductive outcome prediction and risk stratification of endometrial injury: a multicenter diagnostic study;International Journal of Surgery;2024-03-11