Realization Of A System Of Prediction And Patients Guidance Within A Clinic
2022
Mémoire de Master
Informatique

Centre Universitaire Abdel Hafid Boussouf - Mila

M
Mahdi, Khitas

Résumé: The age of digital technology requires the world to provide an excellent health system, in order to ensure that citizens and society are alive and well. This study proposes a web application that operates with data prospecting algorithms to predict disease and that can ultimately form a health forecasting system that serves patients and doctors. The main features of this system are to give the immediate diagnosis of the user based on the symptoms he suffers from and to obtain a list of doctors specializing in this disease as well as many services provided by this accession such as reserving appointments, digitizing prescriptions, medical analyses and accurately tracking the patient’s condition. In order to achieve this aspiration, the UML2 has been selected as a method, 2TUP as a design approach, Java EE as a platform operating in Java, hybrnet for dealing with databases and sarver cloud computing related to building Microsoft’s smart systems and netbeans as a development environment as well as apach tomcat as a server and mysql as a database

Mots-clès:

machine learning
java
disease prediction
patient orientation
web application
apprentissage automatique
java
prédiction de maladies
orientation patient
application web
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