Machine learning-based risk factor analysis and prediction model construction for mortality in chronic heart failure.
| Publicado en: | Journal of Global Health Vol. 15; pp. 1 - 14 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Edinburgh University Global Health Society
2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190978661&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190978661 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20472978 DBQG jtl: Journal of Global Health issn: 20472978 maglogo: N pubinfo: dt: 2025 vid: 15 pid: 72708 pub: Edinburgh University Global Health Society artinfo: ui: 190978661 190978661 190978661 10.7189/jogh.15.04242 190978661 ppf: 1 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Machine learning-based risk factor analysis and prediction model construction for mortality in chronic heart failure. aug: au: Xu, Qian Yu, Ruicong Cai, Xue Chen, Guanjie Zheng, Yueyue Xu, Cuirong Sun, Jing affil: Zhongda Hospital, Southeast University, Nanjing, China sug: subj: Heart Failure Risk Factors Heart Failure Mortality Chronic Disease Machine Learning Methods Risk Assessment Prediction Models Ecology Conceptual Framework Human Funding Source Male Female Adult Middle Age Aged Aged, 80 and Over Descriptive Statistics Data Analysis Software ROC Curve Age Factors Systolic Pressure Glycated Hemoglobin Glomerular Filtration Rate Ventricular Ejection Fraction Heart Ventricle, Left Ventricular Dysfunction, Left Dizziness Surgery, Cardiovascular Smoking Coronary Disease Antihypertensive Agents Therapeutic Use Hypoglycemic Agents Therapeutic Use Antiarrhythmia Agents Therapeutic Use Diet Sleep Duration Educational Status Occupations and Professions Poverty Residence Characteristics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|