Mobile App for Kidney Patients to Provide a Comprehensive Solution to Manage Disease

Chronic Kidney Disease (CKD) is a common and critical health problem that calls for effective disease treatment and careful kidney donor selection. This research introduces a mobile application made to help medical professionals manage CKD patients successfully and effectively. The app consists of four main parts: a module based on medical report scanning using OCR and NLP for patient summary generation, patient classification based on their health state using machine learning algorithms, a personalized chatbot specific for CKD patients to provide health references and meal plans and a donor selection module based on a tailored point schema. Python is used to create the backend of the software, Android is used for the front end, and MongoDB is used for the database. Machine learning models improve several of the app’s features. Results show that the components are functional, and noted shortcomings are being fixed in anticipation of future improvements. The software has the potential to revolutionize the management of CKD and the choice of kidney donors, improving patient outcomes and treatment effectiveness.