Titlebook: Artificial Intelligence for Information Management: A Healthcare Perspective; K. G. Srinivasa,Siddesh G. M.,S. R. Mani Sekhar Book 2021 Th

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Social Media Analytics for Health CareSM allows for 2-way communication among the patients, health experts, and third parties. It has become a major platform in which the public searches for information related to health care. Hence, the SM has developed as the largest source of discussions related to health care worldwide. Rich healthc

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Multi-modal Data-Driven Analytics for Health Careell. With the vast amount of healthcare data available in various forms such as image, video, text, and due to emerging technologies and advancements in data science, tools are being created to ease the process of medical analysis and provide an efficient and accurate diagnosis of the patient. Such

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Security and Privacy Issues in Health Carehealthcare data that is collected and analyzed online is in jeopardy. The task of the data handler is to ensure that the patient’s information given to any healthcare organization is kept confidential so that their data is kept safe and secure. The information security and privacy are involved in th

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Healthcare Data Visualization is almost equivalent to 0.5 Million TB or it is enough to occupy 10 Million Blue-ray disks. The amount of data is expected to surpass 44 trillion gigabytes at the end of 2020 (as compared to 4.4 trillion gigabytes during the end of 2013). The lion’s share of the data being recorded in the informati

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Management of Dementia Through Self-help and Assistive Technologiesy of a person’s daily activities. Plenty of research has been carried out toward the treatment and management of dementia. Some of the supportive medicines can treat this condition to a given extent but cannot cure it permanently. In this chapter, we present new ways of managing dementia by involvin

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Classification and Prediction of Leukemia Using Gene Expression Profileassification is always encouraged. In the proposed system, we are going to classify Leukemia into Acute Lymphocytic Leukemia (ALL) and Acute Myeloid Leukemia (AML) and also going to predict who is at cancer risk by monitoring gene expressions. Leukemia is a blood or bone marrow type of cancer which

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Artificial Intelligence in Medicine: Diabetes as a Modelcal images, skin conditions, retinal conditions of the eye), in the diagnosis of disease, predicting disease onset, treatment outcomes, and recently unraveling previously hidden associations. AI-based applications are available for identifying diabetic eye changes. As AI comes into mainstream medici

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Smart Healthcare: Using IoT and Machine Learning-Based Analytics to convey improved patient consideration while lessening the human services costs. The Medical Services industry faces tremendous difficulties to spare the information produced and to process it to separate information out of it. The expanding volume of human services information created through Io