datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
heart_failure
Heart failure
The Heart failure dataset from Kaggle.
Predict patient death from earth failure given some personal medical data .
Configurations and tasks
Configuration
Task
Description
death
Binary classification
Did the patient die?
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/heart_failure", "death")["train"]
Features
Feature
Type
age
int8
has_anaemia
int8… See the full description on the dataset page: https://huggingface.co/datasets/mstz/heart_failure.heart-diseaseThe Heart Disease Data Set is provided by the Cleveland Clinic Foundation for Heart Disease. It's a CSV file with 303 rows. Each row contains information about a patient (a sample), and each column describes an attribute of the patient (a feature). We use the features to predict whether a patient has a heart disease (binary classification).
It is originally hosted here.
circor-heart-soundaasheesh200_framingham-heart-study-dataset
Framingham heart study dataset
Framingham heart disease dataset
Dataset Info
Source: Kaggle
Original Size: 0.06 MB
Kaggle Downloads: 19,469
Files: 1
Files
framingham.csv
Mirrored from Kaggle
heart-failure-prediction-dataset
language:
en
license: odbl
tags:
health
heart-disease
medical
machine-learning
annotations_creators:
expert-generated
language_creators:
expert-generated
pretty_name: Heart Failure Prediction Dataset
size_categories:
1K<n<10K
source_datasets:
original
task_categories:
structured-data-classification
task_ids:
binary-classification
health-data-analysis
paperswithcode_id: heart-failure-prediction
configs:
default
dataset_info:
features:
- name: Age
dtype: int32
- name: Sex… See the full description on the dataset page: https://huggingface.co/datasets/aai530-group6/heart-failure-prediction-dataset.heart_disease_uci
Dataset Card for Dataset Name
age: age in years
sex: sex (1 = male; 0 = female)
cp: chest pain type
-- Value 1: typical angina
-- Value 2: atypical angina
-- Value 3: non-anginal pain
-- Value 4: asymptomatic
trestbps: resting blood pressure (in mm Hg on admission to the hospital)
chol: serum cholestoral in mg/dl
fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
restecg: resting electrocardiographic results
-- Value 0: normal… See the full description on the dataset page: https://huggingface.co/datasets/skrishna/heart_disease_uci.heart-disease-dataset
❤️ Heart Disease Dataset (Enhanced with Feature Engineering)
📌 Overview
This dataset is an enhanced version of the classic UCI Heart Disease dataset, enriched with extensive feature engineering to support advanced data analysis and machine learning applications.
In addition to the original clinical features, several derived variables have been introduced to provide deeper insights into cardiovascular risk patterns. These engineered features allow for improved predictive… See the full description on the dataset page: https://huggingface.co/datasets/nezahatkorkmaz/heart-disease-dataset.clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v1.1
Clarus v1.1 — Counterfactual and Adversarial Control Geometry
What this repo does
This dataset evaluates whether a model can select the correct control policy when:
multiple interventions appear viable
early signals suggest improvement
alternative policies produce better long-term outcomes
The task is not prediction.
The task is selecting the correct action under uncertainty, feedback, and misleading signal structure.
Core quad
The system is defined by… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v1.1.heart-disease-cleveland
Heart Disease Dataset (Cleveland UCI) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/heart-disease-cleveland.Heart-Disease-Prediction-datasetheart_diseasesYou can use this data for heart diseases prediction.
I attached two files one is raw that is csv file and other one is cleaned data that is ipynb
51-9k-prices-headache-allergy-and-heartburn
51,861 prices: 4 categories, 12 U.S. ZIPs, 29 days
51.9K Prices: Headache, Allergy & Heartburn
How do listed and package-standardized prices for common over-the-counter pain, allergy, and heartburn products differ across U.S. ZIP markets and days?
This fixed research snapshot contains 51,861 unaggregated, quality-filtered price observations across 4 medicine categories, 12 U.S. ZIP markets, and 29 consecutive dates from July 21 through August 18, 2026. The analysis-ready CSV… See the full description on the dataset page: https://huggingface.co/datasets/costinflation/51-9k-prices-headache-allergy-and-heartburn.clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v1.0ClarusC64 / clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v1.0
What this repository does
This repository provides a Clarus v1.0 benchmark dataset for heart-failure transition dynamics using a four-variable clinical quad.
Version v1.0 introduces Closed-Loop Control Geometry.
Earlier Clarus versions progressively reconstructed instability geometry.
Version Capability
v0.1 cascade detection
v0.2 trajectory awareness
v0.3 cascade forecasting
v0.4 boundary discovery
v0.5… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v1.0.dqs-death-rates-for-heart-disease-by-sex-race-hisp
DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER
Description
Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File.
Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/dqs-death-rates-for-heart-disease-by-sex-race-hisp.clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.8
What this repo does
This repository provides a Clarus v0.8 clinical quad dataset for detecting and reasoning about heart failure regime transitions.
The dataset models situations where a patient state is no longer contained within a single heart-failure basin but is shifting between competing regimes such as:
congestion-dominant decompensation
low-output failure
cardiogenic shock transition
This is the conceptual upgrade introduced in Clarus v0.8.
Earlier ladder versions… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.8.heartland-synthetic
HEARTLAND Synthetic Heart-Failure Benchmark Cohort
An open, reproducible tabular benchmark containing 1,000 entirely synthetic adult heart-failure records and 31 variables. It combines clinical variables with modeled rural access, social support, guideline-directed medical therapy (GDMT), the proposed HEARTLAND risk score, and modeled one-year outcomes.
No row represents a real person. The dataset contains no protected health information (PHI), no real medical record, and no… See the full description on the dataset page: https://huggingface.co/datasets/vickymuller-md/heartland-synthetic.heart2
❤️ Heart Disease — Exploratory Data Analysis
👤 Author
Oded Fuchs
🎯 Project Goal
The goal of this project is to explore which factors are most strongly related to heart disease,using statistical analysis and data visualization.
🔍 Research Question
Which factors have the strongest impact on the likelihood of heart disease?
📦 Dataset
Source: Kaggle
Format: CSV
~302 samples
Contains various clinical features
Target… See the full description on the dataset page: https://huggingface.co/datasets/odedf2001/heart2.clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.4
What this repo does
This repository contains a Clarus v0.4 cascade boundary discovery dataset modeling heart failure transition.
Earlier Clarus datasets focused on detecting cascade states or forecasting collapse trajectories.
Version v0.4 extends the framework to a harder task:
detecting whether a system lies on the instability boundary itself.
The dataset models heart failure deterioration as a coupled physiological system in which cardiac load, declining reserve, delayed… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.4.Heart_Disease_Dataset
Heart Disease Dataset
This dataset contains information about individuals and their health characteristics related to heart disease. It can be used to predict whether a person has heart disease or not based on various medical and personal attributes.
Columns:
age: Age of the person (in years).
sex: Gender of the person (binary encoding):
1 = Male
0 = Female
cp: Chest pain type:
0 = Asymptomatic
1 = Atypical angina
2 = Non-anginal pain
3 = Typical angina
trestbps:… See the full description on the dataset page: https://huggingface.co/datasets/sayanroy058/Heart_Disease_Dataset.legal-order-draft-hearing-note-deadline-permission-costs-coherence-v0.1What this dataset does
You receive
hearing note summary
draft order summary
dates and deadlines
permissions and directions
costs terms
conflict flags
You decide
coherent
or
incoherent
Daily use
order QC
deadline mismatch detection
permission omission detection
costs mismatch detection
heart_disease_uciheart-diseasesheart-disease-cleveland
Heart Disease (Cleveland) — xaitalk example-data mirror
Mirror of the UCI Heart Disease (Cleveland) dataset, hosted as a reliable runtime fallback for xaitalk's tabular MLP example. 303 patients x 13 features, binary target (disease presence).
Source: UCI Machine Learning Repository (https://archive.ics.uci.edu/dataset/45/heart+disease). All credit to the original creators (Hungarian Inst. of Cardiology / Cleveland Clinic et al.). Redistributed unmodified for example… See the full description on the dataset page: https://huggingface.co/datasets/xaitalk/heart-disease-cleveland.synthetic-diabetes-hypertension-NCD-screening-WHO-HEARTS
Synthetic Diabetes & Hypertension NCD Screening Dataset (Adults 18–80)
Abstract
This dataset provides 30,000 synthetic records (10,000 per scenario) of adults undergoing NCD screening at LMIC health facilities or community campaigns. Each record contains 27 variables including demographics, anthropometry (BMI, waist circumference), lifestyle risk factors (smoking, alcohol, physical activity), family history, clinical measurements (blood pressure, fasting glucose, HbA1c… See the full description on the dataset page: https://huggingface.co/datasets/koushik1212/synthetic-diabetes-hypertension-NCD-screening-WHO-HEARTS.legal-hearing-bundle-index-pagination-exhibit-coherence-risk-v0.1What this dataset does
You receive
index summary
pagination ranges
exhibit references
chronology summary
missing flags
duplicate flags
You decide
coherent
or
incoherent
Daily use
bundle QC
missing exhibit detection
broken page ref detection
index repair support
heartHeart_disease_datasetHeartFailureDatasetclinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.1
What this repo does
This dataset models the transition from compensated cardiac stress to heart failure decompensation using a four-variable coupling structure.
The goal is to detect when a patient is drifting toward circulatory deterioration before overt decompensated heart failure is established.
Cardiac decline often unfolds as a cascade: hemodynamic load rises, contractile reserve narrows, treatment delays reduce reversibility, and organ interactions amplify failure.
The quad… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-cardiac-load-reserve-lag-coupling-heart-failure-transition-v0.1.heart-disease-dataset