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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    An advanced healthcare android application with machine learning

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    13301074,13201002,13201043_CSE.pdf (1.166Mb)
    Date
    2018
    Publisher
    BRAC University
    Author
    Ridwan, Naeeb MD
    Omi, Fuad Tanvir
    Ahamed, Protiva
    Metadata
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    URI
    http://hdl.handle.net/10361/10847
    Abstract
    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.
    Keywords
    Machine learning; Android application; Healthcare
     
    LC Subject Headings
    Android (operativsystem)--programmering.
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 36-41).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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