Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare

Author(s): Kamil Dimililer * .

DOI: 10.2174/9781681088716121010006

Classification Problems in Healthcare Applications

Pp: 40-61 (22)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

Health, considered the state of individual physical well-being, is greatly affected by factors, such as the physical environment and everything within an individual. Individuals in poor health require monitoring to be observed in the hospital, home, or anywhere being cared for. Many healthcare applications are being recorded and classified considering the health of humans, using Machine Learning algorithms. The healthcare system has rapidly advanced in technology. Applications in healthcare mainly comprise the IoT (Internet of Things), which are smart mobile devices, and the healthcare applications required for keeping track of individual health status, medical staff prescription, and medical history. In this chapter, modalities of Medical imaging and machine learning methods used in prediction will be studied. The classification in medical applications will also be studied and discussed in detail.

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