July 2020
Beginner to intermediate
432 pages
12h 57m
English
Content preview from Intelligent Data Analysis
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16Intelligent Data Analysis for Medical Applications
Moolchand Sharma1, Vikas Chaudhary2, Prerna Sharma1, and R. S. Bhatia3
1Department of Computer Science & Engineering, MAIT, Delhi, India
2Department of Computer Science & Engineering, KIET, Ghaziabad, India
3Department of Electrical Engineering, NIT, Kurukshetra, India
16.1 Introduction
Most developing countries are faced with increased patient mortality from several diseases primarily as a result of the inadequacy of medical specialists. This insufficiency is impossible to overcome in a brief span of time. However, institutions of higher learning are capable of taking immediate action by producing as many doctors as possible. Many lives will be impacted while waiting for the student's journey of becoming a doctor and then a specialist. Currently, for proper diagnosis and treatment, it is required that patients consult specialists. Certain medical practitioners do not possess enough experience or expertise to handle certain high-risk diseases. Nonetheless, the diseases may increase in severity by the time patients get access to specialists, which may take a few days, weeks, or even months. A patient may suffer for the rest of their life if the high-risk disease cannot be addressed at an early enough stage.
With the use of computer technology, the number of mortality and wait times to see specialist can be effectively reduced. Doctors can be assisted in making decisions without consultation with specialists by developing specialized ...
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