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Titlebook: Computational Intelligence in Healthcare Informatics; D. P. Acharjya,Kun Ma Book 2024 The Editor(s) (if applicable) and The Author(s), und

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https://doi.org/10.1007/978-3-663-08987-2umber 1 represents the existence of diabetes, whereas the value 0 represents the absence of diabetes. This chapter compares the results of classification algorithms, viz., binary logistic regression model and a support vector machine to detect diabetes early. The models are evaluated using the accur
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https://doi.org/10.1007/978-3-322-88656-9r kinds. Based on the examination of sizable datasets, this study presents a strategy for identifying various tumor forms of the brain. The precise structure of the brain may be seen in MRI pictures and thus taken into consideration for analysis without the need for surgery. The MRI scan reveals the
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https://doi.org/10.1007/978-3-322-86278-5tion rules connect different diseases and treatments, as well as provide important information to doctors and health institutions in society. These rules are useful in healthcare research and development in areas such as potential complications, preventive medicine, disease diagnosis, and prevention
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Strategien an den Devisenmärkten toward telehealth. The results discuss the adaptability of both patients and healthcare practitioners toward telemedicine. To support the current study of approach, a survey was conducted where 105 respondents participated, in which 80 respondents were people who availed of the telehealth service a
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