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Machine Learning: Healthcare Applications
This book is intended as an introduction to methods that are routinely applied to healthcare data, and hopefully, provide some useful insights into the evaluation and interpretation of the resulting models. Of particular interest are any likely limitations to the ‘real-life’ usefulness of these predictions.Throughout, I review relevant examples of machine-learning projects that have been published in professional journals.
I explain complex data mining methods, and the possibility of an improvement over the performance of the basic logistic regression. I begin with chapters on extensions to this basic regression method, and then progress to other current machine-learning methods.
I explain complex data mining methods, and the possibility of an improvement over the performance of the basic logistic regression. I begin with chapters on extensions to this basic regression method, and then progress to other current machine-learning methods.
357 pages, Kindle Edition
Published March 14, 2022
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