healthbot

Model Card for Model ID

Anjanams04/healthbot

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Model Details

Model Description

This is a fine-tuned version of DialoGPT on medical data aimed at creating a health assistant chatbot. The model is intended to engage in medical-related conversations, offering insights based on input symptoms and questions.

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Anjana MS
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: Anjana MS
• Model type: Conversational AI (based on DialoGPT-medium)
• Language(s) (NLP): English
• License: [More Information Needed]
• Finetuned from model [optional]: microsoft/DialoGPT-medium

Model Sources [optional]

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• Repository: Anjanams04/healthbot
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• Demo [optional]: [More Information Needed]

Uses

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Direct Use

This model can be used for developing a medical chatbot or virtual health assistant that interacts with users about symptoms, general health advice, and information about diseases.

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Downstream Use [optional]

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Healthcare providers for chatbot-based pre-diagnosis assistance. Integration into healthcare apps for automated medical inquiry handling.

Out-of-Scope Use

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This model should not be used for making clinical decisions or giving final medical advice, as it lacks real-world medical certifications.

Bias, Risks, and Limitations

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This model has potential biases, as it was trained on limited medical data. It may not represent the full spectrum of medical advice or perspectives. Additionally, incorrect diagnoses or recommendations could result from the conversational nature of the model.

Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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