MACHINE LEARNING FOR HEALTHCARE PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

MACHINE LEARNING FOR HEALTHCARE PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

About this Book

In the field of healthcare informatics, the study of how data may be acquired, transferred, processed, saved, and retrieved is referred to as the study of how data can be gained, transmitted, processed, stored, and retrieved. This is how data that is relevant to healthcare can be obtained, sent, processed, stored, and retrieved. Early sickness prevention, early illness detection, early illness diagnosis, and early illness therapy are all essential components in this field of research about the treatment of early disease. For the purposes of the discipline of healthcare informatics, the only types of data that are considered to be credible are those that pertain to illnesses, patient histories, and the computer operations that are required in order to analyse this data. Traditional medical practices in the United States have made significant investments in cutting-edge technology and computational infrastructure over the course of the past two decades. These expenditures have been made in order to improve their ability to give help to academics, medical professionals, and patients. In order to enhance the quality of medical treatment that may be provided by using these numerous options, a substantial amount of resources have been invested in order to accomplish this goal. Providing patients with access to healthcare that is not only reasonably priced and of excellent quality, but also completely and wholeheartedly free of any and all fear, was the underlying objective that served as the impetus for all of these numerous programs. As a direct result of these efforts, the advantages and significance of utilising computational tools to assist with referrals and prescriptions, to establish and manage electronic health records (EHR), and to make technological advancements in digital medical imaging have become substantially more apparent. A direct consequence of the fact that the benefits of utilizing computational tools have become more apparent is the fact that this has come about. Electronic health records, often known as EHRs, are something that may be established and managed with the aid of modern technologies.

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