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An advanced healthcare android application with machine learning

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAlam, Dr. Md Ashraful
dc.contributor.authorRidwan, Naeeb MD
dc.contributor.authorOmi, Fuad Tanvir
dc.contributor.authorAhamed, Protiva
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-11-14T07:23:40Z
dc.date.available2018-11-14T07:23:40Z
dc.date.copyright2018
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.en_US
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.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityNaeeb MD Ridwan
dc.description.statementofresponsibilityFuad Tanvir Omi
dc.description.statementofresponsibilityProtiva Ahamed
dc.format.extent41 pages
dc.identifier.otherID 13301074
dc.identifier.otherID 13201002
dc.identifier.otherID 13201043
dc.identifier.urihttp://hdl.handle.net/10361/10847
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectMachine learningen_US
dc.subjectAndroid applicationen_US
dc.subjectHealthcareen_US
dc.subject.lcshAndroid (operativsystem)--programmering.
dc.titleAn advanced healthcare android application with machine learningen_US
dc.typeThesisen_US

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Thesis (Bachelor of Science in Computer Science and Engineering)