2019 |
Volume 7 |
Issue 1
Advanced Medical Diagnosis and Prediction Using Deep Learning
1.
Hasna Hashim
– Student, Department Of Cse, Ukf College Of Engineering & Technology, Kerala, India.
2.
Nayama Grace Mathew
– Student, Department Of Cse, Ukf College Of Engineering & Technology, Kerala, India.
3.
K. Sabira
– Student, Department Of Cse, Ukf College Of Engineering & Technology, Kerala, India.
4.
A. Nizamudeen And Jithin Jacob
– Student, Department Of Cse, Ukf College Of Engineering & Technology, Kerala, India.
Received
12-Sep-2019
|
Accepted
-
|
Published
12-Sep-2019
|
Abstract
A significant part of human life is medical diagnosis. The correct prediction of a disease revolves around various steps. Due to the tremendous advancement in the medical field, the data is quite large, which makes it challenging for medical diagnosis and prediction. Mobile health applications are becoming increasingly used as medical diagnosis. The use of Electronic Health Record (EHR) by hospitals is also increasing. These systems have many advantages such as easier access to patient data, structured information and support for decision making and better access to information. This paper focus on such a mobile application that enables the users to predict or diagnose medical conditions based on the symptoms provided by the user.
Keywords Android, Decision tree, Flask, Machine learning, Medical diagnosis.
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