
This dataset contains survey-based health data collected from 330 individuals, capturing a comprehensive set of demographic, lifestyle, clinical, and behavioral risk factors associated with heart disease. Each record represents one respondent and includes self-reported information on physical health indicators, daily habits, medical history, and a binary label indicating whether the individual is a heart patient. The dataset is intended to support research in cardiovascular disease prediction, public health analytics, and machine learning classification tasks related to heart disease risk assessment.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
