Machine Learning-Based Methods for Pneumonia Disease Detection in Health Industry
- Authors: Manu Goyal1, Kanu Goyal2, Mohit Chhabra3, Rajneesh Kumar4
-
View Affiliations Hide Affiliations1 Maharishi Markandeshwar Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar (Deemed To Be University), Mullana Ambala, Haryana, India 2 Maharishi Markandeshwar Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar (Deemed To Be University), Mullana-Ambala, Haryana, India 3 Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana, India 4 Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana-Ambala, Haryana, India
- Source: Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare , pp 234-246
- Publication Date: March 2024
- Language: English
Machine Learning-Based Methods for Pneumonia Disease Detection in Health Industry, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815165432/chapter-11-1.gif
Due to partial medical facilities accessible in some developing nations such as India, early disease prediction is challenging. Pneumonia is a deadly and widespread respiratory infection affecting the distal airways and alveoli. Pneumonia is responsible for high mortality rates and short- and long-term mortality in persons of all age groups. The spread of Pneumonia mainly depends on the immune response system of human beings. The symptoms of Pneumonia vary from person to person and also on the severity of this disease. In the 21st century, Artificial Intelligence (AI) is recommended as one of the early-stage disease diagnosis methods. This chapter discusses the uses of one of the AI subdomains, which Machine learning challenges and issues that researchers face while diagnosing early-stage pneumonia disease.
-
From This Site
/content/books/9789815165432.chapter-11dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
