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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

9780443181931
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Description
In this issue of Critical Care Clinics, guest editors Drs. Rishikesan Kamaleswaran and Andre L. Holder bring their considerable expertise to the topic of Data Science in Critical Care. Data science, the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. In this issue, top experts in the field cover key topics such as refining our understanding and classification of critical illness using biomarker-based phenotyping; predictive modeling using AI/ML on EHR data; classification and prediction using waveform-based data; creating trustworthy and fair AI systems; and more.
Product Details
Elsevier
98513
9780443181931
9780443181931

Data sheet

Publication date
2023
Issue number
1
Cover
hard cover
Pages count
240
Dimensions (mm)
151 x 229
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