Rezultati - Can Meng
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Predicting Agitation Events in the Emergency Department Through Artificial Intelligence od Ambrose H. Wong, A. V. Sapre, Kaicheng Wang, Bidisha Nath, Dhruvil Shah, Anusha Kumar, Isaac V. Faustino, R K Desai, Yue Hu, Leah Robinson, Can Meng, Guangyu Tong, Steven L. Bernstein, Kimberly A. Yonkers, Edward R. Melnick, James Dziura, Robert A. Taylor
Izdano 2025Artigo -
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A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries od Shalender Bhasin, Thomas M. Gill, David B. Reuben, Nancy K. Latham, David A. Ganz, Erich J. Greene, James Dziura, Shehzad Basaria, Jerry H. Gurwitz, Patricia C. Dykes, Siobhan McMahon, Thomas W. Storer, Priscilla Gazarian, Michael E. Miller, Thomas G. Travison, Denise Esserman, Martha B. Carnie, Lori Goehring, Maureen Fagan, Susan L. Greenspan, Neil B. Alexander, Jocelyn Wiggins, Fred Ko, Albert L. Siu, Elena Volpi, Albert W. Wu, Jeremy Rich, Stephen C. Waring, Robert B. Wallace, Carri Casteel, Neil M. Resnick, Jay Magaziner, Peter Charpentier, Charles Lu, Katy Araujo, Haseena Rajeevan, Can Meng, Heather Allore, Brooke Brawley, Rich Eder, Joanne M. McGloin, Eleni A. Skokos, Pamela W. Duncan, Dorothy I. Baker, Chad Boult, Rosaly Correa‐de‐Araujo, Peter Peduzzi
Izdano 2020Artigo
Iskalna orodja:
Sorodne teme
Emergency medicine
Medicine
Surgery
Cognitive psychology
Cohort
Emergency department
Falls in older adults
Gerontology
Injury prevention
Intensive care medicine
Internal medicine
Medical emergency
Physical therapy
Poison control
Psychiatry
Psychology
Randomized controlled trial
Recall
Receiver operating characteristic
Sedation
Vital signs