Titlebook: Data-Driven Approach for Bio-medical and Healthcare; Nilanjan Dey Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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Personalizing the Patient Discharge Process and Follow-Up Using Machine Learning Algorithms, Assessng tree) have been tested and comparatively analyzed. The tests have been performed on a data set containing information about the hospital admissions of patients with heart failure and as evaluation metrics precision, recall, and F1 have been used.

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Analyzing the Impact of COVID-19 and Vaccination Using Machine Learning and ANN,the development of new ways to protect us from the disease. Also, using XGBoost, the accuracy has been improvised. Importing the matplotlib package is used to visualize the COVID-19 data. Finally, before and after the vaccine, a performance analysis was implemented.

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Book 2023ical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and g

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David Hawkridge,John Jaworski,Harry McMahonly for patients with chronic diseases and their previous medical treatments and diagnosis if they must be treated in other institutions outside of the country of leaving or private institutions. All data for patients are stored in the institutional database as electronic health data (EHR), owned by