Medicine recommendation system github This project leverages machine learning models trained on a dataset of symptoms and diseases to make accurate predictions. In this project, we facilitate our user to get number of medicines to cure his or her disease! Dec 26, 2024 · The Medicine Recommendation System is an intelligent healthcare application designed to predict diseases based on user-input symptoms and provide recommendations for medications, diets, precautions, and workouts. Personalized medicine recommendation systems are computer systems that use machine learning to recommend medical treatments and interventions to patients based on their individual characteristics. It provides personalized medicine recommendations, prescription details, and even workout suggestions to enhance well-being. Importing and training various By integrating with Electronic Health Records (EHR) using the SMART on FHIR standard, this system analyzes patient data—including demographics, medical history, and current medications—to deliver accurate and personalized recommendations. The basic aim of the Medicine Recommendation System is to design an effective and accurate system for predicting proper medicines for patients. These systems can be used to improve patient outcomes and to reduce the cost of healthcare. Ashveenk200 / Medicine-Recommendation-System- Public Notifications You must be signed in to change notification settings Fork 2 Star 0 Python, Flask, HTML, CSS, ML. The Medicine Recommendation System is a machine learning (ML)-based web application designed to assist healthcare professionals and patients by recommending appropriate medications based on input symptoms. In this paper proposes the medicine recommendation system which will predict disease and medicine according to symptoms entered by patients/users. py migrate 5) python manage. This project uses machine learning models to suggest similar medicines, helping users find alternatives easily. - manoj20497/Medicine_Recommendation_System The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replace Medicine Recommendation System. This GitHub repository hosts the codebase and resources for the system, allowing developers, researchers, and healthcare professionals to contribute, collaborate. 📌 Medicine-Recommendation-system-using-ML 📝Overview This project aims to develop a Medicine Recommendation System that predicts diseases based on user-provided symptoms and provides: Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. Here's what sets our system apart: User-Friendly Interface: Our intuitive interface allows users to Knowledge Graph-Driven Medicine Recommendation System using Graph Neural Networks on Longitudinal Medical Records - Rajat1206/KGDNet Medicine Recommendation System An intelligent machine learning-based system that provides personalized medicine recommendations based on patient symptoms, medical history, and drug interactions. Contribute to adihargane/Medicine-Recommendation-System development by creating an account on GitHub. py runserver 6) ctrl + click on the provided link 7) Your Device should be connected to Internet as the project About This project aims to create a medicine recommendation system based on symptoms provided by the user. This is a personalized medicine recommendation system that predicts your illness based on your symptoms. Utilizing advanced computational methods, the system predicts the most effective drug combinations based on a patient’s health state, leveraging vast amounts of Electronic Health Records (EHRs). Medicine Search: Type the name of a medicine, and the app will suggest alternatives. Title: Personalized Medical Recommendation System with Machine Learning Description: Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. com/datasets/noorsmore. #machinelearning #datascience #python Source Code: https://github. The Alternate Medicine Recommendation System is an open-source project aimed at providing personalized recommendations for alternative medicine treatments. A Medicine Recommendation System is a Machine Learning model that can assist healthcare professionals in prescribing the right medication to patients based on their medical conditions, symptoms, allergies, and other relevant factors. A web-based application that recommends alternative medicines based on user input. Data Collection and Preprocessing: The system collects and preprocesses vast amounts of medical data, including patient records, electronic health records (EHRs), clinical trials data, drug information, and research articles. The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replacements for the specified medicine. Leveraging the capabilities of machine learning, our system analyzes user-input symptoms to predict potential diseases accurately This project implements a disease prediction system based on symptoms provided by the user using a machine learning model. Recommendation System application with medical drug dataset picked from https://www. py makemigrations 4) python manage. The system employs a stacked ensemble technique combining Logistic Regression (LR) and Long Short-Term Memory (LSTM) models to accurately classify and analyze user May 27, 2025 · Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. This Python script provides a medicine recommendation system based on patient symptoms and medical history data. May 18, 2025 · The Medicine Recommendation System is designed to help pharmacists and other health professionals find effective alternative medicines based on their current prescription. Additionally, it incorporates custom-generated review weightages to prioritize recommendations based on products reviews The Medicine Recommendation System is an AI-powered platform that helps users understand and manage their health by analyzing symptoms and predicting potential diseases. - anurag-b72/medicine-recommendation-system Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. com/jessicali9530/kuc-hackathon-winter-2018. It utilizes the Apriori algorithm from the mlxtend library to extract frequent itemsets and association rules from the medical dataset. The Medicine Recommendation System Project is designed to recommend assist users in finding suitable medicines based on their needs. This project leverages machine learning models and a user-friendly Flask web interface to deliver personalized and reliable healthcare insights. Contribute to swathi1806/Medicine-Recommendation-System development by creating an account on GitHub. Here's This repository contains the code and data for the Personalized Medicine Recommending System project, which is a machine learning application that can assist healthcare professionals in prescribing the right medication to patients based on their individual characteristics. Given a set of symptoms, the system predicts the most likely disease and provides additional information such as description, symptoms, medications, precautions, diet, and workout recommendations for the predicted disease. Built using Flask and a Support Vector Classifier (SVC) model, the system predicts diseases from symptoms and provides detailed recommendations, including disease descriptions Contribute to 611noorsaeed/Medicine-Recommendation-System-Personalized-Medical-Recommendation-System-with-Machine-Learning development by creating an account on GitHub. The Medicine Recommendation System predicts potential diseases based on user-provided symptoms and suggests corresponding treatments. By integrating user-provided symptoms and health data, this system predicts potential diseases, recommends personalized medications, and suggests suitable workout routines. It employs a Support Vector Machine (SVM) model . By understanding the top five Health Recommendation Systems and how to use them, you can take advantage of the tools available to improve the quality of healthcare. JaaniCoder / Medicine-Recommendation-System Public Notifications You must be signed in to change notification settings Fork 0 Star 1 This project develops a machine learning-based drug recommendation system aimed at providing quick and reliable medical prescriptions during emergencies. Recommendation Medicine Recommendation System (Django framework)Medicine Recommendation System (Django framework) and Cosine Similarty, Follow the below steps to execute the project 1) install python 2) install Django 3) python manage. Overview The Medicine Recommendation System is a machine learning (ML)-based web application designed to assist healthcare professionals and patients by recommending appropriate medications based on input symptoms. It will also help chemists or nurses to recommend a medicine in the absence of a doctor. The system is built using machine learning models trained on a dataset of symptoms and their corresponding diagnoses. - 27ahmad/Medicine-Recommendation-System The Personalized Medical Recommendation System leverages advanced machine learning techniques to provide tailored healthcare guidance. - GitHub - Luthrout/Personalized_Medicine-Recommendation_System: This repository contains the code and data for the This project aims to create a medicine recommendation system based on symptoms provided by the user. It can help healthcare professionals in prescribing the right medication to their patients, reducing the risk of adverse effects and improving patient outcomes AI and machine learning like emerging technology can help us to create a recommended system that will prescribe medicine and this system can accurately predict a medicine to use. Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. The frontend is designed using Bootstrap for an intuitive user interface. May 26, 2023 · GitHub provides a wealth of resources for practitioners, developers, and researchers interested in using these systems. This system helps healthcare professionals make informed decisions while ensuring patient safety. com/611noorsaeed/Medic Datasets: https://www. It is an automated medicine recomendation system developed in python using Django frame work. Leveraging the capabilities of machine learning, our system analyzes user-input symptoms to predict potential diseases accurately. The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query, with the primary goal of offering viable replacements for the specified medicine. kaggle. Disease Prediction and Medical Recommendation System 🩺 A machine learning-powered web application that predicts diseases based on user-entered symptoms and provides comprehensive health recommendations including medications, dietary suggestions, and exercise routines. This dataset was used for the Winter 2018 Kaggle University Club Hackathon and is now publicly available. A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions. This project aims to develop a robust medicine recommendation system by leveraging sentiment analysis on drug review datasets. The system leverages Natural Language Processing (NLP) techniques such as TF-IDF and Cosine Similarity to provide intelligent recommendations. Built using Flask and a Support Vector Classifier (SVC) model, the system predicts diseases from symptoms and provides detailed recommendations, including disease descriptions, precautions Welcome to our cutting-edge Personalized Medical Recommendation System, a powerful platform designed to assist users in understanding and managing their health. The model will prompt you to enter your symptoms and provide a comprehensive solution, including a summary of the disease, medications, precautions, diet recommendations, and workout suggestions. ngbz w0vh adaj jyua m4b pqmn ppmpu cl8rxt c4gj9w y380ns