Leveraging AI technologies for preventing and detecting sudden cardiac arrest and death Pradeep Nijalingappa, Sandeep Kautish, Mangesh Ghonge and Renjith Ravi, editors.
Material type:
TextPublisher: Hershey, PA Medical Information Science Reference, [2022]Description: 1 online resourceISBN: 1799884457; 9781799884453Subject(s): Artificial intelligence | Heart Arrest -- prevention & control | Death, Sudden, Cardiac -- prevention & control | Artificial Intelligence | Decision Support Systems, Clinical | Intelligence artificielle | artificial intelligence | Artificial intelligenceGenre/Form: EBSCO eBooks DDC classification: 616.1/23 LOC classification: RC685.C6NLM classification: WG 214Online resources: EBSCOhost Summary: "This book discusses how AI technologies can assist physicians to make better clinical decisions enabling early detection of subclinical organ dysfunction, through the use of clinically relevant information that can be found in the massive amount of data and, thus, improving quality and efficiency of healthcare delivery"-- Provided by publisher.
"This book discusses how AI technologies can assist physicians to make better clinical decisions enabling early detection of subclinical organ dysfunction, through the use of clinically relevant information that can be found in the massive amount of data and, thus, improving quality and efficiency of healthcare delivery"-- Provided by publisher.
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