ABSTRACT
The objective of machine language (ML) is to create algorithms that have the capability to automatically learn and then improve themselves so that these experienced and improved algorithms can be used for future predictions. The biomedical field has now attracted more attention and become a priority because it is directly related to issues of human health, which is facing new challenges every day. ML consists of various methods to correctly and efficiently retrieve and share biomedical information. ML is defined as an essential platform that is used in biological and biomedical datasets for analyzing and extracting the required patterns. This tool is also capable of identifying the relationships hidden in healthcare-related data and also the critical structure of the data. Several applications have been developed that make diagnostic procedures effective and accurate, so that human beings benefit from treatment processes or the diagnosis of any procedure critical diseases.
