Medicine Recommendation System | Personalized Medical Recommendation System with Machine Learning скачать в хорошем качестве

Medicine Recommendation System | Personalized Medical Recommendation System with Machine Learning

#machinelearning #datascience #python Source Code: https://github.com/611noorsaeed/Medic... Datasets: https://www.kaggle.com/datasets/noors... ============================= TimeStampes: 00:00:00 - Introduction To the project 00:11:42 - Data Set Analysis and Model Training 00:11:42 - Explanation of symptoms and patient records 00:13:06 - Importing data set and tools library 00:17:54 - Splitting data set and encoding output column 00:23:34 - Training and Testing Multiple Models in Python 00:23:34 - Encoding strings to integers for training. 00:24:27 - Importing and training various classification models. 00:31:56 - Looping through models for training and testing with accuracy calculations. 00:35:21 - Model Training and Testing Process with Support Vector Classifier 35:24 Model training involves using support vector classifier with different models like random forest and gradient boosting. 00:37:39 - Data preprocessing leads to 100% accuracy in model testing due to clean data. 00:40:49 - Saving and loading the trained model for future use is demonstrated. 00:47:02 - Creating a Predictive Model for Disease Diagnosis 00:47:11 - Comparing predicted labels with actual diseases. 00:47:48 - Importing and analyzing data sets for symptoms, precautions, and medications. 00:54:50 - Developing a function for predicting diseases based on patient symptoms. 00:58:48 - Creating Input Vectors for Disease Prediction 00:58:54 - Explanation of input vector and patient symptoms 00:59:18 - Creating input vector with patient symptoms 01:03:41 - Passing user symptoms for disease prediction 01:10:30 - Analyzing Symptoms and Predicting Diseases 01:15:03 - Creating a system to filter diseases based on symptoms and provide corresponding descriptions. 01:20:22 - Developing a function to retrieve precautions, medications, and diets for specific diseases. 01:26:02 - Debugging and refining the output for predicted disease, description, and precautions 01:33:53 - Creating a Medicine Recommendation System with Python and Flask 01:33:56 - The speaker discusses typing symptoms and predicting diseases based on the symptoms. 01:34:33 - The speaker explains the process of creating a recommendation system for medication, precautions, and diet based on the predicted disease. 01:45:33 - Creating HTML Pages and Using Bootstrap for Web Development 01:57:16 - Identifying URL and template errors 02:08:56 - Creating a Health Care Center Web Form 02:16:57 - Implementing back-end functionality to retrieve user input and load data 02:20:38 - Demonstration of Code Explanation and Front-End Integration 02:32:21 - Using attribute in HTML for interactive buttons 02:44:10 - Demonstration of populating disease details based on user input. 02:50:11 - Explanation of code flow and demonstration of different website sections.