Alam, Dr. Md AshrafulRidwan, Naeeb MDOmi, Fuad TanvirAhamed, Protiva2018-11-142018-11-1420182018ID 13301074ID 13201002ID 13201043http://hdl.handle.net/10361/10847Cataloged from PDF version of thesis.Includes bibliographical references (pages 36-41).This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.In this thesis, an advanced healthcare application on android platform is proposed and demonstrated using machine learning techniques. This advance healthcare application allows the user to conduct critical prognosis based on their proved information. This application is composed of (1) predicting health risk of the user, (2) providing the users with necessary suggestions depending on their health conditions and (3) helping the users by connecting them with blood bank and hospitals nearby. As a further development of service, the application will enable the user to make an appointment with doctors. In our thesis project, we have run this prognosis system for heart diseases based on the information those we have collected and have gotten an accuracy level of 0.71 out of 1.41 pagesenBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Machine learningAndroid applicationHealthcareAndroid (operativsystem)--programmering.Thesis