Hybrid App Suite for Medical Diagnosis using Naive Bayes’ Classifier

Abstract

—Medical and Healthcare industry comprises of sec- tor of industries that focus on patient wellbeing and medical research. These industries make up about 10% of the GDP of any developing nation.
In India, the worth of medical industry is about $78 billion and it is expected to rise to $200 billion by
2020 [15] . IT industry has touched almost every domain of industries, medical industry remains to be
exploited. IT industry will help in automation, better record management, and research in the healthcare
industry. With the traditional methods, chances of medical negligence and misdiagnosis are prominent. We
can use information technology to facilitate medical practitioners by providing them an interface to make
calculations on-the-go, retrieve medical records and provide diagnosis by eliminating guesswork. By making
calculations automated, degree of error is drastically reduced, which increases precision. Chances of medical
record loss can be handled by maintaining a central server. Also, confidentiality of medical records can be
achieved. In the current scenario, applications have to be developed for every platform separately. This
consumes both time and money. Our solution proposes a hybrid application that will run on every platform.
The application development is faster, simpler, and more rapid and the application is easier to maintain.
You can change platforms anytime you need, Cordova lets you build your application for more than one
platform just by one adding line of code.