Artificial Intelligent and Machine Learning Methods in Bioinformatics and Medical Informatics

Abstract

Recently, the machine learning techniques have been widely adopted in the field of bioinformatics and medical informatics. Generally, the main purpose of machine learning is to develop algorithms that can learn and improve over time and can be utilized for predictions in hindcast and forecast applications. Computational intelligence has been significantly employed to develop optimization and prediction solutions for several bioinformatics and medical informatics techniques in which it utilized various computational methodologies to address complex real-world problems and promises to enable computers to help humans in analyzing large complex data sets. Its approaches have been widely applied in biomedical fields, and there are many applications that use the machine learning, such as genomics, proteomics, systems biology, evolution and text mining, which are also discussed. In this chapter, we provide a comprehensive study of the use of artificial intelligent and machine learning methods in bioinformatics and medical informatics, including AI and its learning processes, machine learning and its applications for health informatics, text mining methods, and many other related topics.