Medical Diagnoser #565
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## Pull Request for PyVerse 💡 ### Requesting to submit a pull request to the PyVerse repository. --- #### Issue Title **Please enter the title of the issue related to your pull request.** Medical Diagnoser - [X] I have provided the issue title. --- #### Info about the Related Issue **What's the goal of the project?** To implement a Medical Diagnosis and Prescription System using Deep Learning techniques. - [X} I have described the aim of the project. --- #### Name **Please mention your name.** Venkata Ramana Billana - [X] I have provided my name. --- #### GitHub ID **Please mention your GitHub ID.** ramana2074 - [X] I have provided my GitHub ID. --- #### Email ID **Please mention your email ID for further communication.** *Enter your email ID here.* [email protected] - [X] I have provided my email ID. --- #### Identify Yourself **Mention in which program you are contributing (e.g., WoB, GSSOC, SSOC, SWOC).** *Enter your participant role here.* GSSOC Extended Contributor 2024 - [X] I have mentioned my participant role. --- #### Closes **Enter the issue number that will be closed through this PR.** *Closes: #issue-number* #565 - [X] I have provided the issue number. --- #### Describe the Add-ons or Changes You've Made **Give a clear description of what you have added or modified.** This project implements a Medical Diagnosis and Prescription System using Deep Learning techniques. By utilizing the power of Long Short-Term Memory (LSTM) networks, this system is capable of analyzing a patient's symptoms and providing an accurate diagnosis along with the recommended medication. The LSTM model, a variant of Recurrent Neural Networks (RNN), is particularly suited for processing sequential data like patient symptoms and offers significant advantages when dealing with textual data. - [X] I have described my changes. --- #### Type of Change **Select the type of change:** - [ ] Bug fix (non-breaking change which fixes an issue) - [X] New feature (non-breaking change which adds functionality) - [ ] Code style update (formatting, local variables) - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [ ] This change requires a documentation update --- #### How Has This Been Tested? **Describe how your changes have been tested.**I It has been test against different prescriptions and symptoms - [X] I have described my testing process. --- #### Checklist **Please confirm the following:** - [X] My code follows the guidelines of this project. - [X] I have performed a self-review of my own code. - [X] I have commented my code, particularly wherever it was hard to understand. - [X] I have made corresponding changes to the documentation. - [X] My changes generate no new warnings. - [X] I have added things that prove my fix is effective or that my feature works. - [X] Any dependent changes have been merged and published in downstream modules.
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Guidelines
Latest Merged PR Link
#329
Project Description
This project implements a Medical Diagnosis and Prescription System using Deep Learning techniques. By utilizing the power of Long Short-Term Memory (LSTM) networks, this system is capable of analyzing a patient's symptoms and providing an accurate diagnosis along with the recommended medication. The LSTM model, a variant of Recurrent Neural Networks (RNN), is particularly suited for processing sequential data like patient symptoms and offers significant advantages when dealing with textual data.
Full Name
Venkata Ramana Billana
Participant Role
GSSOC Extended Contributor 2024
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