Predicting patient’s disease based on their symptoms using machine learning
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BRAC University
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Abstract
This paper analyzes how the patient can easily figure out the appropriate doctor based on the
physical problem or the health issues which they could not figure out in previous because of
lack ofknowledge related to the disease. The methods we are using is machine learning which
will figure out the machine readable details of the information that are provided by the
patient. The patient will justify their problems by answering a list of questionnaire that helps
them to figure out their problem details. The questionnaire will narrow down the problem and
justify the appropriate disease or health issues that the patient is facing. Our result will show
the details of the problem that the patient is facing and suggest them their preferred doctors.
The program will also suggest the tests related to the issue. It will also figure out the
preference of the patient.From a safety perspective this study will emphasizes on the digital
solution to the patient whom took hassle to figure out their preferred doctors.
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Description
Cataloged from PDF version of thesis.
Includes bibliographical references (page 43-44).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Includes bibliographical references (page 43-44).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Thesis