Heart Failure Clinical Records (DATA_MINIMAL)
HealthDCAT-AP conform public health data sample
Heart Failure Clinical Records (DATA_MINIMAL)
Not specified
a dataset containing medical records of 299 heart failure patients collected at the Faisalabad Institute of Cardiology and at the Allied Hospital in Faisalabad (Punjab, Pakistan). The patients consisted of 105 women and 194 men and their ages range between 50 and 95 years old. All 299 patients had left ventricular systolic dysfunction and had previous heart failures that put them in classes III or IV of New York Heart Association (NYHA) classification of the stages of heart failure. The dataset contains 13 features, which report clinical, body, and lifestyle information. A detailed description can be found in the Dataset section of the referenced introductory paper: "Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone."
http://publications.europa.eu/resource/authority/file-type/CSV
Public
The dataset is sourced from a paper by Chicco et al. (https://doi.org/10.1186/s12911-020-1023-5) and can be traced back to a case study by Ahmad et al. (https://doi.org/10.1371/journal.pone.0181001) in which the dataset was first created. The data was collected at the Faisalabad Institute of Cardiology and at the Allied Hospital in Faisalabad (Punjab, Pakistan).
The primary objective the data was collected for was a case study focused on survival analysis of heart failure patients.
20 July 2017
3 February 2020
The patients consisted of 105 women and 194 men, and their ages range between 40 and 95 years old. All 299 patients had left ventricular systolic dysfunction and had previous heart failures that put them in classes III or IV of New York Heart Association (NYHA) classification of the stages of heart failure.
Not specified
1 April 2015
31 December 2026
English
Not specified
Not specified
Never
Not specified
Not specified
The version with modified variable names by Chicco et al: Name: UC Irvine Machine Learning Repository Website: https://archive.ics.uci.edu/dataset/519/heart+failure+clinical+records E-mail: ml-repository@ics.uci.edu
HDAB-DE
Authors of the original case study: https://doi.org/10.1371/journal.pone.0181001 Tanvir Ahmad, Assia Munir, Sajjad Haider Bhatti , Muhammad Aftab, Muhammad Ali Raza
Faisalabad Institute of Cardiology and the Allied Hospital in Faisalabad URL: https://www.fic.gop.pk/ Authored by Tanvir Ahmad, Assia Munir, Sajjad Haider Bhatti, Muhammad Aftab, Muhammad Ali Raza
Original dataset: Name: Sajjad haider Bhatti E-mail: sajjad.haider@gcuf.edu.pk
https://doi.org/10.1371/journal.pone.0181001
A case study focused on survival analysis of heart failure patients who were admitted to Institute of Cardiology and Allied hospital Faisalabad-Pakistan during April-December (2015).
None
Yes
Not specified
Approved by Institutional Review Board of Government College University, Faisalabad-Pakistan and the principles of Helsinki Declaration were followed. Informed consent was taken by the patients from whom the information on required characteristics were collected/accessed.
Health: http://publications.europa.eu/resource/authority/data-theme/HEAL
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. EHDS Regulation: http://data.europa.eu/eli/reg/2025/327/oj
https://hdeu-dcat.acceptance.data.health.europa.eu/resource/authority/healthcategories/EHCT
Not specified
Multivariate
https://w3id.org/dpv/pd#Age https://w3id.org/dpv/pd#Gender
Not specified
Not specified
Ages range between 40 and 95
13
299
Title: Heart Failure Clinical Records Access URL: https://archive.ics.uci.edu/dataset/519/heart+failure+clinical+records Applicable Legislation: Creative Commons Attribution 4.0 International (CC BY 4.0)
https://archive.ics.uci.edu/dataset/519/heart+failure+clinical+records
Creators and Submitter
Related items
Special guest appearance from Charles Darwin himself!
Programme: This Project is not associated with a Programme
Public web page: Not specified
Title (String) *, Acronym (String) , Description (Text) *, File Format (String) , Access Rights (String) *, Provenance (Text) , Purpose (Text) , Release Date (Date) , Modification Date (Date) , Population Coverage (Text) , Geographical Coverage (Text) , Temporal Coverage start (Date) , Temporal Coverage end (Date) , Language (Text) , Retention Period start (Date) , Retention Period end (Date) , Update Frequency (Text) , Spatial Resolution (Text) ( m ) , Temporal Resolution (Text) , Publisher (Text) , Health Data Access Body (Text) *, Custodian (Text) , Creators (Text) , Contact Points (Text) , Documentation Page (Text) , Was generated by (Text) , Has Qualify Annotation (Text) , Structured Data (Text) , Version (Text) , Legal Basis (Text) , Theme (Text) , Applicable Legislation (Text) *, Health Catagory (Text) *, Health Theme (Text) , Code Values (Text) , Type (Text) , Personal Data (String) , Conforms to (URI) , Coding Systems (URI) , Typical Age (Text) , Number of Records (Integer) , Number of Individuals (Integer) , Dataset Distribution (Text) *, Dataset Identifier (URI) *, Is Referenced By (URI)
Not specified
