> ## Documentation Index
> Fetch the complete documentation index at: https://ekacare-durgesh-output-language.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Datasets

# Empowering Indian Healthcare AI with High-Quality Data

At Eka Care, we believe that advancing healthcare in India requires AI solutions built specifically for Indian populations. To support this vision, we are proud to share comprehensive, anonymized healthcare datasets with the research community.

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## Available Datasets

### NidaanKosh

**A Comprehensive Laboratory Investigation Dataset of 100,000 Indian Subjects with 6.8 Million+ Readings**

* **100,000** Indian Subjects
* **6.8 Million+** Laboratory Readings
* Covers common biomarkers and laboratory values specific to Indian populations
* [AIKosh](https://aikosh.indiaai.gov.in/home/datasets/details/nidaankosha_100k_v1.html) | [HuggingFace](https://huggingface.co/datasets/ekacare/NidaanKosha-100k-V1.0)

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### Spandan

**A Large Photoplethysmography (PPG) Signal Dataset of 1 Million+ Indian Subjects**

* **1 Million+** Indian Subjects
* Raw PPG signals captured from diverse demographic groups across India
* Essential for developing accurate cardiovascular monitoring algorithms for Indian populations
* [AIKosh](https://aikosh.indiaai.gov.in/home/datasets/details/spandan_1m_v1_raw.html) | [HuggingFace](https://huggingface.co/datasets/ekacare/spandan-1M-V1.0-raw)

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## Why These Datasets Matter

### Bridging the Data Gap

Majority healthcare AI models developed today are trained on Western datasets, which may not accurately represent Indian patients' unique characteristics. These datasets address this critical gap.

### Enabling Homegrown Innovation

With access to high-quality Indian healthcare data, researchers and developers can build AI solutions tailored specifically to Indian healthcare challenges.

### Advancing Healthcare Equity

By democratizing access to these datasets, we aim to support broader participation in healthcare AI development across India.

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## How to Use These Datasets

1. **Access**: All datasets are hosted on the [India AI Aikosh platform](https://aikosh.indiaai.gov.in)
2. **Documentation**: Each dataset includes comprehensive documentation describing data structure, collection methodology, and suggested applications
3. **Community**: Join our [researcher community forum](#) to connect with others using these datasets

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## Ethics & Privacy

All datasets have been rigorously anonymized following industry best practices and ethical guidelines. No personally identifiable information is included in any dataset.

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## Research Collaboration

We welcome collaboration opportunities with academic institutions, research organizations, and industry partners. If you're using our datasets for your research:

* Please cite our datasets in your publications
* Share your findings with our research community
* Consider opportunities for joint research initiatives

[Contact our research team](sankalp@eka.care)

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*These datasets are provided for research and development purposes. For terms of use and licensing information, please refer to the documentation included with each dataset.*
