In today’s fast-paced world, timely and accurate healthcare diagnosis can be a game-changer. To address this need, we have developed a Healthcare Diagnosis Assistant that leverages machine learning to predict health conditions based on patient symptoms. This assistant uses MindsDB for machine learning and an SQLite database for storing patient data. In this post, we’ll walk you through the development of this tool.
Why Use MindsDB?
MindsDB is a powerful open-source AI tool that simplifies the process of training and deploying machine learning models. It allows developers to integrate machine learning into their applications with minimal effort. By using MindsDB, we can quickly build and deploy a model that predicts diagnoses based on patient data.
Project Overview
The Healthcare Diagnosis Assistant is designed to predict health conditions based on the age, gender, and symptoms of a patient. Here’s a breakdown of the features:
- Predictive Diagnosis: Input patient details and get a predictive diagnosis.
- Explanation: Provides an explanation for the predicted diagnosis.
- Data Storage: Uses SQLite for storing and managing patient data.
- Command-Line Interface: Simple CLI for user interaction.
Requirements
Before we start, ensure you have the following:
- Python 3.7 or higher
- MindsDB SDK
- SQLite3
Project Codebase
The complete codebase for this project can be found on GitHub: Healthcare Diagnosis Assistant.
MindsDB Integration
Connecting to MindsDB
The assistant connects to a local MindsDB server to create and train the prediction model.
Creating the Model
The model is created using data from the patients table in the SQLite database. The model predicts the diagnosis based on age, gender, symptom1, symptom2, and symptom3.
Training the Model
The model is trained on the sample data provided in the patients table.
Conclusion
Building a Healthcare Diagnosis Assistant with MindsDB and SQLite is a great way to leverage machine learning for healthcare applications. With this tool, you can quickly get predictive diagnoses and explanations based on patient data. MindsDB simplifies the process of integrating machine learning into your applications, making it accessible even for those new to AI.
This Project is under quest submission [Vote for me (https://quira.sh/repo/sneha-4-22-Health_assistant-824874405?utm_source=copy&utm_share_context=quests_repos) Thanks it means a lot!