license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# BiometricHealthTrends

tags: anomaly detection, healthcare, real-time analysis

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:** The BiometricHealthTrends dataset comprises time-series data related to patient biometric health markers collected from wearable devices. It includes heart rate, blood pressure, and sleep patterns, with each record annotated for anomaly detection in healthcare monitoring. The dataset supports real-time analysis for healthcare professionals to identify potential health issues promptly.

**CSV Content Preview:**

```
timestamp,heart_rate,blood_pressure,sleep_quality,activity_level,label
2023-01-01T00:00:00Z,78,120/80,Good,Moderate,Normal
2023-01-01T00:05:00Z,82,122/83,Good,Active,Normal
2023-01-01T00:10:00Z,76,118/79,Poor,Sedentary,Abnormal
2023-01-01T00:15:00Z,80,121/81,Fair,Moderate,Normal
2023-01-01T00:20:00Z,77,125/85,Poor,Active,Abnormal
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=BiometricHealthTrends&tags=anomaly+detection,+healthcare,+real-time+analysis
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
