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Data Science in Critical Care, An Issue of Critical Care Clinics
Data Science in Critical Care, An Issue of Critical Care Clinics
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- More about Data Science in Critical Care, An Issue of Critical Care Clinics
Data science is particularly relevant in the critical care setting, and this issue covers key topics such as refining understanding and classification of critical illness, predictive modeling, and creating trustworthy and fair AI systems. It also provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice.
Format: Hardback
Length: 240 pages
Publication date: 14 September 2023
Publisher: Elsevier Health Sciences
In this issue of Critical Care Clinics, esteemed guest editors Drs. Rishikesan Kamaleswaran and Andre L. Holder bring their extensive expertise to the forefront of Data Science in Critical Care. Data science, a discipline dedicated to the principled extraction of knowledge from intricate data, holds immense relevance in the realm of critical care. Within this issue, esteemed experts in the field delve into critical topics such as refining our understanding and classification of critical illness through biomarker-based phenotyping, employing predictive modeling utilizing AI/ML on EHR data, utilizing waveform-based data for classification and prediction, and developing trustworthy and fair AI systems. This publication encompasses 15 highly relevant and practice-oriented topics, including the transformative impact of AI and the imaging revolution, designing living, breathing clinical trials: lessons learned from the COVID-19 pandemic, navigating the complexities of understanding the patient or population to make informed clinical decisions, weighing the cost-benefit dynamics of AI in healthcare, and much more. Furthermore, this issue provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice. Under the guidance of experienced editors in the field, authors meticulously synthesize and distill the latest research and practice guidelines to craft clinically significant, topic-based reviews.
Weight: 450g
Dimension: 229 x 151 (mm)
ISBN-13: 9780443181931
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