Download Free Data Science In Critical Care An Issue Of Critical Care Clinics Volume 39 4 Book in PDF and EPUB Free Download. You can read online Data Science In Critical Care An Issue Of Critical Care Clinics Volume 39 4 and write the review.

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. 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.
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. 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.
In this issue, guest editors bring their considerable expertise to this important topic.
In this issue of Critical Care Clinics, guest editors Drs. Michelle Ng Gong and Gregory S. Martin bring their considerable expertise to the topic of COVID-19. Top experts in the field cover key topics such as ECMO in COVID-19, neurologic manifestations and sequelae in COVID-19, pediatric COVID-19, anti-viral and anti-inflammatory therapeutics in COVID-19, the critical care surge during COVID-19 and lessons for the future, and more. Contains 11 relevant, practice-oriented topics including post-acute sequelae of SARS CoV-2 infection; COVID-19 and renal failure; the role of acute thrombosis in COVID-19; COVID ARDS: different phenotype of ARDS or same diversity of phenotype in ARDS; COVID-19 in the critically ill pregnant patient; and more. Provides in-depth clinical reviews on COVID-19, 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.
This issue of Critical Care Clinics, guest edited by Drs. Michael Matthay and Kathleen Dori Lui, focuses on Acute Respiratory Distress Syndrome. This is one of four issues each year selected by the series consulting editor, Dr. John Kellum. Articles in this issue include, but are not limited to: Epidemiology, Environmental Factors, Clinical Diagnosis, Physiology of ARDS, including COVID-19, Pathogenesis Based on Clinical Studies, Genetics of ARDS, Ventilator Management and Rescue Therapy with ECMO, Acute Kidney Injury and ARDS, Pharmacologic Therapies and ARDS and Long Term Outcomes from ARDS. Provides in-depth, clinical reviews on ARDS, providing 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 these timely topic-based reviews.
In this issue of Critical Care Clinics, guest editors Drs. Jordan A. Kempker, Elizabeth Chuang, and Crystal E. Brown bring their considerable expertise to the topic of Health Disparities and Health Equity in Critical Care. Top experts cover key topics such as race, ethnicity, and gender disparities in management and outcomes of critically ill children and neonates, critically ill adults with trauma, critically ill adults with acute respiratory failure, critically ill adults with acute myocardial infarction, critically ill adults with acute cerebrovascular accident, critically ill adults with sepsis; and more. Contains 14 relevant, practice-oriented topics including lessons learned about social disparities and critical illness during the COVID-19 pandemic; disparities in the burden and impact of critical illness between industrial and resource constrained countries; ethical and equity considerations and approaches regarding the rationing of critical care resources; workforce diversity and equity among critical care physicians; and more. Provides in-depth clinical reviews on health disparities and health equity 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.
Dr. Michael Pinsky has assembled an expert team of authors on the topic of Hemodynamic Monitoring. Articles topics include: The interface between monitoring and physiology at the bedside; Defining goals of resuscitation in the critically ill; Minimally invasive hemodynamic monitoring; Bedside ultrasound for the intensivist; Invasive hemodynamic monitoring; Functional hemodynamic monitoring; Using what you get: dynamic physiological signatures of critical illness; and Effect of organizational issues on resuscitation effectiveness.
In this issue of Critical Care Clinics, guest editor Paul Bergl brings his considerable expertise to the topic of Diagnostic Excellence in the ICU. Provides in-depth, clinical reviews on the latest updates in Diagnostic Excellence in the ICU, providing 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 these timely topic-based reviews.
This Research Topic is the fourth volume of the series Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume I: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I Volume II:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II Volume III:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume III Analytics based on artificial intelligence has greatly advanced scientific research fields like natural language processing and imaging classification. Clinical research has also greatly benefited from artificial intelligence. Emergency and critical care physicians face patients with rapidly changing conditions, which require accurate risk stratification and initiation of rescue therapy. Furthermore, critically ill patients, such as those with sepsis, acute respiratory distress syndrome, and trauma, are comprised of heterogeneous population. The “one-size-fit-all” paradigm may not fit for the management of such heterogeneous patient population. Thus, artificial intelligence can be employed to identify novel subphenotypes of these patients. These sub classifications can provide not only prognostic value for risk stratification but also predictive value for individualized treatment. With the development of transcriptome providing a large amount of information for an individual, artificial intelligence can greatly help to identify useful information from high dimensional data. Altogether, it is of great importance to further utilize artificial intelligence in the management of critically ill patients.
In this issue, guest editors bring their considerable expertise to this important topic. Provides in-depth reviews on the latest updates in the field, providing 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 these timely topic-based reviews.