Python Machine Learning - Diabetes Monitoring System and Health-Medical Service - ClickMyProject
Diabetes is a chronic disease characterized by high blood sugar levels. It is a major global health problem with increasing prevalence, leading to significant morbidity and mortality. Early detection and management are crucial to prevent complications. In our project we propose Machine Learning (ML) techniques to predict Diabetes. Machine Learning (ML) has emerged as a powerful tool for predicting and managing chronic diseases like diabetes. By analyzing massive datasets of patient information, ML models can identify patterns and relationships that help us predict disease risk. . We have employed principal component analysis (PCA) for feature selection, Extreme Learning Machine (ELM) and Artificial Neural Network (ANN) for classification. After getting the performance analysis result, we choose the efficient algorithm for prediction. Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577 Shop Now @ http://clickmyproject.com Chat Now @ https://bit.ly/3rzVhHE Visit Our Channel: https://bit.ly/3eY0h3M Mail Us: info@clickmyproject.com
Diabetes is a chronic disease characterized by high blood sugar levels. It is a major global health problem with increasing prevalence, leading to significant morbidity and mortality. Early detection and management are crucial to prevent complications. In our project we propose Machine Learning (ML) techniques to predict Diabetes. Machine Learning (ML) has emerged as a powerful tool for predicting and managing chronic diseases like diabetes. By analyzing massive datasets of patient information, ML models can identify patterns and relationships that help us predict disease risk. . We have employed principal component analysis (PCA) for feature selection, Extreme Learning Machine (ELM) and Artificial Neural Network (ANN) for classification. After getting the performance analysis result, we choose the efficient algorithm for prediction. Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577 Shop Now @ http://clickmyproject.com Chat Now @ https://bit.ly/3rzVhHE Visit Our Channel: https://bit.ly/3eY0h3M Mail Us: info@clickmyproject.com