Bioinformatics and Medical Applications

7Deep Learning for Medical Informatics and Public Health

K. Aditya Shastry¹*, Sanjay H. A.², Lakshmi M.¹ and Preetham N.¹

¹Department of Information Science and Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bangalore, Karnataka, India

²M S Ramaiah Institute of Technology, Bengaluru, India

Abstract

The technology and healthcare intersect to constitute medical informatics (MI). MI enhances the outcomes of patients and healthcare through the skills of medical and computer sciences. The fusion of both these disciplines enables the related personnel to improve the patient care along with the research and clinical settings. Public health (PH) represents the science of safeguarding and improving community health. In this regard, deep learning (DL) represents an interesting area of research. DL application has been observed in several domains due to the fast growth of both data and computational power. In recent years, the application of DL in the domain of MI has increased due to the probable advantages of DL applications in healthcare. DL can aid medical experts in diagnosing several illnesses, detecting sites of cancer, determining the impacts of medicines on each patient, comprehending the association among phenotypes and genotypes, discovering novel phenotypes, and forecasting the outbreaks of contagious illnesses with higher precision. This chapter emphasizes on DL techniques applied in MI and PH, recent case studies related to the application of DL in MI and ...