An advanced healthcare android application with machine learning

dc.contributor.advisorAlam, Dr. Md Ashraful
dc.contributor.authorRidwan, Naeeb MD
dc.contributor.authorOmi, Fuad Tanvir
dc.contributor.authorAhamed, Protiva
dc.date.accessioned2018-11-14T07:23:40Z
dc.date.available2018-11-14T07:23:40Z
dc.date.issued2018
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 36-41).
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
dc.description.abstractIn 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.
dc.identifier.otherID 13301074
dc.identifier.otherID 13201002
dc.identifier.otherID 13201043
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/b8ea1aec-8084-4356-9689-ce186446b474
dc.identifier.urihttp://hdl.handle.net/10361/10847
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectMachine learning
dc.subjectAndroid application
dc.subjectHealthcare
dc.titleAn advanced healthcare android application with machine learning
dc.typeThesis

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