Titlebook: Explainable Machine Learning in Medicine; Karol Przystalski,Rohit M. Thanki Book 2024 The Editor(s) (if applicable) and The Author(s), und

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Introduction,cted from various sources, such as electronic health records (EHRs), medical imaging, genomic testing, clinical trials, and public health surveillance. Here are some examples of medical data and their applications.

rheumatology

Lucubrate

Summary,igence (XAI) and its applications in the medical domain. This book provides a thorough exploration of the challenges and opportunities that arise when integrating machine-learning models into medical decision-making processes.

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生存环境

Sandrine Dudoit,Jean Yee Hwa Yangutions to this book unveil how teachers, backgrounding the political inherent in all memory practices, often nourish the illusion that the history in which they are engaged is all about addressing the past with a reflexive and disciplined approach..978-3-030-11999-7Series ISSN 2662-7361 Series E-ISSN 2662-737X

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Interlocking

Satellite Water Colour Observations in African Seasing Spectrometer (MERIS), available by the European Space Agency (ESA), derived using spectral bands near 700 nm in the near-infrared part of the spectrum, provide further information on blooms and aquatic vegetation. We present here results of satellite observations of various African seas, showing

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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional pract