Читать книгу Machine Learning for Healthcare Applications - Группа авторов - Страница 13

Parthasarathi Pattnayak1* and Om Prakash Jena2

1School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, Odisha, India

2Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India

Abstract

The healthcare offerings in evolved and developing international locations are seriously important. The use of machine gaining knowledge of strategies in healthcare enterprise has a crucial significance and increases swiftly. In the beyond few years, there has been widespread traits in how system gaining knowledge of can be utilized in diverse industries and research. The organizations in healthcare quarter need to take benefit of the system studying techniques to gain valuable statistics that could later be used to diagnose illnesses at a great deal in advance ranges. There are multiple and endless Machine learning application in healthcare industry. Some of the most common applications are cited in this section. Machine learning helps streamlining the administrative processes in the hospitals. It also helps mapping and treating the infectious diseases for the personalised medical treatment. Machine learning will affect physician and hospitals by playing a very dominant role in the clinical decision support. For example, it will help earlier identification of the diseases and customise treatment plan that will ensure an optimal outcome. Machine learning can be used to educate patients on several potential disease and their outcomes with different treatment option. As a result it can improve the efficiency hospital and health systems by reducing the cost of the healthcare. Machine learning in healthcare can be used to enhance health information management and the exchange of the health information with the aim of improving and thus, modernising the workflows, facilitating access to clinical data and improving the accuracy of the health information. Above all it brings efficiency and transparency to information process.

Keywords: Machine learning, healthcare, EHR, RCT, big data