Can I read Introduction to Deep Learning for Healthcare on EtoBox?

Introduction to Deep Learning for Healthcare by Cao Xiao;Jimeng Sun;(auth.) is a nonfiction available to read on EtoBox.

What is Introduction to Deep Learning for Healthcare about?

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impact on healthcare delivery in recent years. One crucial benefit of EHRs is to capture all the patient encounters with rich multi-modality data. Healthcare data include both structured and unstructured information. Structured data include various medical codes for diagnoses and procedures, lab results, and medication information. Unstructured data contain 1) clinical notes as text, 2) medical imaging data such as X-rays, echocardiogram, and magnetic resonance imaging (MRI), and 3) time-series data such as the electrocardiogram (ECG) and electroencephalogram (EEG). Beyond the data collected during clinical visits, patient self-generated/reported data start to grow thanks to wearable sensors’ increasing use. The authors present deep learning case studies on all data described. Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep lear

Who reads Introduction to Deep Learning for Healthcare?

Author

Cao Xiao;Jimeng Sun;(auth.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030821845

Category

nonfiction

Subjects

Computer Science, Medical, Mathematics