PandaVT/datatager_symptom_recognition_and_advice

---
license: apache-2.0
---

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# Extract Medical Information Dataset

## Prompt for Training
When training your model with this dataset, prepend the following prompt to each input instance:

```
你需要去做的是理解患者的咨询文本，并基于这些症状提供一个可能的医学解释以及相应的建议措施。请始终确保你的输出中包括以下元素：1. 对输入中提到的症状的识别和确认。2. 基于症状的可能医学解释。3. 针对进一步诊断或治疗的建议措施。
```

## Description
AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large models suitable for specific business scenarios through task-specific fine-tuning. We have open-sourced several datasets across various domains such as legal, medical, education, and HR, and this dataset is one of them.

Symptom Recognition and Advice is a publication by the DataTager team. This dataset aims to enhance the capabilities of AI systems in medical consultation by enabling the recognition of symptoms and delivery of tailored medical advice based on patient inquiries. It provides extensive data derived from real patient interactions, encompassing a wide range of symptoms and conditions.

## Usage

This dataset is an invaluable resource for developing AI models that can accurately identify symptoms and provide appropriate advice during medical consultations. Utilizing this dataset, AI systems can be trained to not only recognize various health conditions but also suggest actionable medical advice, thereby assisting healthcare professionals to assess patient needs more effectively and expediently. The dataset can also serve educational purposes, training medical students to identify critical information swiftly during patient interactions.

## Citation

Please cite this dataset in your work as follows:

```
@misc{ Extract Medical Information Dataset,
author = {DataTager},
title = {Extract Medical Information Dataset},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\url{https://github.com/PandaVT/DataTager}}
}
```

原始信息汇总

Extract Medical Information Dataset

数据集描述

• 发布机构：DataTager团队
• 目的：增强AI系统在医疗咨询中的能力，通过识别症状并提供基于患者咨询的定制化医疗建议。
• 数据来源：真实患者互动，涵盖广泛的症状和条件。

训练提示

在训练模型时，需为每个输入实例添加以下提示：

你需要去做的是理解患者的咨询文本，并基于这些症状提供一个可能的医学解释以及相应的建议措施。请始终确保你的输出中包括以下元素：1. 对输入中提到的症状的识别和确认。2. 基于症状的可能医学解释。3. 针对进一步诊断或治疗的建议措施。

使用目的

• 开发能够准确识别症状并提供适当建议的AI模型。
• 帮助医疗专业人员更有效地评估患者需求。
• 用于医学教育，培训学生快速识别患者互动中的关键信息。

引用格式

@misc{ Extract Medical Information Dataset, author = {DataTager}, title = {Extract Medical Information Dataset}, year = {2024}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/PandaVT/DataTager}} }