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Individual Health Metrics Dataset
Patient Health Records & Digital Health
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About
This dataset is a multiple classification dataset containing information about the obesity classification of individuals. The data was gathered from various sources, including medical records, surveys, and self-reported information, providing a valuable resource for understanding health metrics related to weight categories.
Columns
- ID: A unique identifier assigned to each individual within the dataset. It ranges from 1 to 110.
- Age: Represents the age of the individual. Ages range from 11 to 112 years, with a mean of approximately 46.6 years.
- Gender: Indicates the gender of the individual, with 52% male and 48% female participants.
- Height: The height of the individual, measured in centimetres. Heights range from 120 cm to 210 cm, with a mean of about 167 cm.
- Weight: The weight of the individual, recorded in kilograms. Weights vary from 10 kg to 120 kg, with a mean of roughly 59.5 kg.
- BMI: The Body Mass Index of the individual, calculated as weight divided by height squared. BMI values range from 3.9 to 37.2, with an average of approximately 20.5.
- Label: The obesity classification of the individual. Possible classifications include Normal Weight, Overweight, Obese, and Underweight. The dataset shows 44% of individuals classified as Underweight, 27% as Normal Weight, and 30% falling into other categories (Overweight, Obese).
Distribution
The dataset is provided in a CSV format and is approximately 3.96 KB in size. It comprises seven columns and contains 108 valid records for each column, indicating a complete set of entries without missing or mismatched data.
Usage
This dataset is ideal for a variety of applications related to health and wellness. It can be utilised for developing predictive models for obesity classification, conducting public health research into the prevalence of different weight categories, analysing the distribution of BMI across different demographics, and supporting studies on health conditions associated with weight. It is also suitable for educational purposes in data science and public health courses.
Coverage
The dataset covers individuals across a wide age range, from 11 to 112 years old, and includes both male (52%) and female (48%) genders. Specific geographic or time range information for the data collection is not detailed within the provided materials.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is beneficial for:
- Public Health Researchers: To analyse trends and patterns in obesity and related health conditions.
- Data Scientists and Machine Learning Engineers: For building and training classification models to predict obesity status.
- Healthcare Professionals: To gain insights into patient demographics and weight-related health.
- Students and Academics: For educational projects and academic research in health informatics and statistics.
Dataset Name Suggestions
- Obesity Status Classification Data
- Individual Health Metrics Dataset
- Human Body Composition Data
- Weight Classification Study Data
- Health Profile and Obesity Levels
Attributes
Original Data Source: Individual Health Metrics Dataset
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