The goal of this Research Topic is to present the latest research regarding reliable innovative solutions that are applied to healthcare to enhance the quality of life, as well as related issues and challenges. However, due to the high dimensionality and complex structure of these data sets, this field faces major computational challenges. The scale and complexity of medical and health informatics data provide unprecedented opportunities in enhancing mechanistic understanding of complex diseases, which can benefit public health outcomes by facilitating diagnostic and therapeutic progress. As a result, mining large-scale data in medical and health informatics has become critical to the healthcare world for deriving phenotypic and genotypic signatures of complex illnesses from depression to cancer, and has begun to translate them to guide personalized clinical decisions. This progress is being spurred by the development of Electronic Health Records (EHR), health insurance claims, medical imaging databases, disease registries, spontaneous reporting sites, clinical trials, as well as user-generated contents from social media and wearable devices. 17-29.The amount of data produced within medical and health Informatics has grown to be quite vast, and analysis of this Big Data grants potentially limitless possibilities for knowledge to be gained. (Ed.) Big Data Analytics and Intelligence: A Perspective for Health Care, Emerald Publishing Limited, Bingley, pp. (2020), "Big Data Analytics in Health Sector: Need, Opportunities, Challenges, and Future Prospects", Tanwar, P., Jain, V., Liu, C.-M. Still, there are several challenges associated with BD, such as storing, capturing, and analyzing data, and their subsequent application to a practical health sector. BD is undoubtedly going to enhance the productivity and performance of organizations in various fields. They have become more advanced by recording the patient’s data on the Internet of Things devices, Electronic Health Records efficiently. There has been a continuous improvement in the health sector for past decades. Biomedical research generates a significant amount of data.
Pharmaceutical companies are accumulating their data in the medical databases, whereas the payers are digitalizing the records of patients. It is essential to manage and analyze these data to get meaningful information. Big Data Analytics (BDA) provides multiple tools to store, maintain, and analyze large sets of data provided by different systems of health. The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector.
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