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

# GenAIHealthCare

tags: EHR, Diagnosis, Prediction

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

**Dataset Description:**

The 'GenAIHealthCare' dataset is a curated collection of Electronic Health Record (EHR) entries designed to support machine learning models focused on improving diagnostic prediction in the healthcare domain. Each entry in the dataset comprises a patient record that includes historical medical data, symptoms, diagnostic codes, and outcomes. The dataset is structured to enable the development and training of predictive models that can aid in early diagnosis and personalized patient care. The CSV file includes a 'label' column that indicates whether the diagnostic prediction was successful, suggesting a potential improvement in patient outcomes.

**CSV Content Preview:**

```csv
record_id,patient_id,age,gender,symptoms,diagnostic_codes,outcome,label
1,23456,45,Female,fatigue,shortness of breath,CHF,Positive
2,23457,30,Male,headache,blurred vision,Glaucoma,Negative
3,23458,65,Male,chest pain,shortness of breath,Myocardial Infarction,Positive
4,23459,52,Female,joint pain,swelling,Rheumatoid Arthritis,Negative
5,23460,48,Male,fever,cough,COVID-19,Positive
```

**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 'Healthcare for GenAI':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Healthcare+for+GenAI&dataset=GenAIHealthCare&tags=EHR,+Diagnosis,+Prediction
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
