Download or read book MACHINE LEARNING IN HEALTHCARE written by Dr. Anand Ashok Khatri and published by Xoffencerpublication. This book was released on 2023-06-09 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of how data pertaining to healthcare may be gathered, transferred, processed, stored, and retrieved is what is known as the field of healthcare informatics. Early illness prevention, early disease detection, early disease diagnosis, and early disease therapy are all essential components of this field of research. Within the realm of healthcare informatics, the only types of data that are considered reliable are those that pertain to illnesses, patient histories, and the computing procedures that are required to interpret this data. Conventional medical practices throughout the United States have made significant investments in state-of-the-art technological and computational infrastructure over the course of the last two decades in order to improve their ability to support academics, medical professionals, and patients. Significant resources have been invested in order to raise the quality of medical treatment that can be provided by using these approaches. The aim to offer patients with healthcare that is not only reasonably priced and of good quality, but also completely free of any and all anxiety served as the impetus for these many projects. As a direct result of these efforts, the advantages and significance of utilizing computational tools to help with referrals and prescriptions, to set up and manage electronic health records (EHR), and to make technological advancements in digital medical imaging have become more obvious. These tools can also assist with setting up and managing electronic health records (EHR). It has been shown that computerized physician order entry, commonly known as CPOE, may improve the quality of care that is provided to patients while simultaneously lowering the number of prescription mistakes and adverse drug reactions. When a doctor uses CPOE, they are able to swiftly get pertinent patient data without having to leave the screen where they are entering prescriptions. The history of the patient provides the treating physician with advance notice of any possibly dangerous responses. Moreover, the CPOE offers the physician the ability to monitor the order's development as it moves through the system.