There is an urgent need to develop and integrate new statistical,
mathematical, visualization, and computational models with the
ability to analyze Big Data in order to retrieve useful information
to aid clinicians in accurately diagnosing and treating patients.
The main focus of this book is to review and summarize
state-of-the-art big data and deep learning approaches to analyze
and integrate multiple data types for the creation of a decision
matrix to aid clinicians in the early diagnosis and identification
of high risk patients for human diseases and disorders. Leading
researchers will contribute original research book chapters
analyzing efforts to solve these important problems.
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