Data Science in Critical Care, An Issue of Critical Care Clinics, E-Book

Description

Approx.240 pages

Key Features

• Contains 15 relevant, practice-oriented topics including AI and the imaging revolution; designing “living, breathing” clinical trials: lessons learned from the COVID-19 pandemic; the patient or the population: knowing the limitations of our data to make smart clinical decisions; weighing the cost vs. benefit of AI in healthcare; and more. 

• Provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice. 

• Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews. 

Companion Products

• Data Science in Critical Care, An Issue of Critical Care Clinics

Readership

Critical Care

Author Information

Edited by Rishikesan Kamaleswaran, PhD, Director of Translational Clinical Informatics, Assistant Professor, Departments of Biomedical Informatics, Pediatrics, and Emergency Medicine Emory University School of Medicine, Department of Biomedical Engineering, Georgia Institute of Technology and Andre L. Holder, MD, MS , Assistant Professor of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University School of Medicine, Grady Memorial Hospital