Zobrazeno 1 - 10
of 725
pro vyhledávání: '"Hude Quan"'
Autor:
Seungwon Lee, Abdel Aziz Shaheen, David J. T. Campbell, Christopher Naugler, Jason Jiang, Robin L. Walker, Hude Quan, Joon Lee
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Non-alcoholic fatty liver disease (NAFLD) describes a spectrum of chronic fattening of liver that can lead to fibrosis and cirrhosis. Diabetes has been identified as a major comorbidity that contributes to NAFLD progression. Healt
Externí odkaz:
https://doaj.org/article/3bd645a370294afbafe749d1ee9e57a7
Autor:
Hude Quan, Danielle A Southern, Yuan Xu, Cathy Eastwood, Guosong Wu, Natalie Sapiro, Cheligeer Cheligeer
Publikováno v:
BMJ Open Quality, Vol 13, Iss 2 (2024)
Background In medical research, the effectiveness of machine learning algorithms depends heavily on the accuracy of labeled data. This study aimed to assess inter-rater reliability (IRR) in a retrospective electronic medical chart review to create hi
Externí odkaz:
https://doaj.org/article/b62f38fc2ce540f8a457a5b46e4e84e7
The centre for health informatics: a novel approach to accelerating the field of health data science
Autor:
Danielle A Southern, Cathy Eastwood, Erin O'Connor, Chelsea Doktorchik, Marcello Tonelli, Jon Meddings, Hude Quan, Tyler Williamson
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 1 (2024)
Precision Medicine and Precision Public Health are approaches to improve population health. Achieving these goals requires innovation in health informatics. The Centre for Health Informatics (CHI) within the Cumming School of Medicine (CSM) at the Un
Externí odkaz:
https://doaj.org/article/5923786b5abd410f87adffba4f2c87cd
Autor:
Namneet Sandhu, Alexander Krusina, Hude Quan, Robin Walker, Elliot A. Martin, Cathy A. Eastwood, Danielle A. Southern
Publikováno v:
Obesity Science & Practice, Vol 10, Iss 1, Pp n/a-n/a (2024)
Abstract Objective Coding of obesity using the International Classification of Diseases (ICD) in healthcare administrative databases is under‐reported and thus unreliable for measuring prevalence or incidence. This study aimed to develop and test a
Externí odkaz:
https://doaj.org/article/791bd09463e34b24a7f41b49005db786
Autor:
Guosong Wu, Cheligeer Cheligeer, Danielle A. Southern, Elliot A. Martin, Yuan Xu, Jenine Leal, Jennifer Ellison, Kathryn Bush, Tyler Williamson, Hude Quan, Cathy A. Eastwood
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 12, Iss 1, Pp 1-10 (2023)
Abstract Background Population based surveillance of surgical site infections (SSIs) requires precise case-finding strategies. We sought to develop and validate machine learning models to automate the process of complex (deep incisional/organ space)
Externí odkaz:
https://doaj.org/article/a0c2fe694d044cdcb90af940fcda1fbf
Autor:
Jie Pan, Zilong Zhang, Steven Ray Peters, Shabnam Vatanpour, Robin L. Walker, Seungwon Lee, Elliot A. Martin, Hude Quan
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Background Abstracting cerebrovascular disease (CeVD) from inpatient electronic medical records (EMRs) through natural language processing (NLP) is pivotal for automated disease surveillance and improving patient outcomes. Existing methods r
Externí odkaz:
https://doaj.org/article/8d976a9a193b4620b604f066cba3e25a
Autor:
Hude Quan, Danielle A Southern, Jie Pan, Sonia Butalia, David J T Campbell, Cathy A Eastwood, Seungwon Lee, Elliot A Martin, Abdel Aziz Shaheen
Publikováno v:
BMJ Health & Care Informatics, Vol 30, Iss 1 (2023)
Introduction Accurate identification of medical conditions within a real-time inpatient setting is crucial for health systems. Current inpatient comorbidity algorithms rely on integrating various sources of administrative data, but at times, there is
Externí odkaz:
https://doaj.org/article/fecb22f620494599b9f8dc3a91e7707a
Autor:
Jawad Chishtie, Natalie Sapiro, Natalie Wiebe, Leora Rabatach, Diane Lorenzetti, Alexander A Leung, Doreen Rabi, Hude Quan, Cathy A Eastwood
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e51003 (2023)
BackgroundElectronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there
Externí odkaz:
https://doaj.org/article/7581710dc1ac418391021d81c1450eaa
Publikováno v:
BMJ Open, Vol 13, Iss 11 (2023)
Objective Implementation of patient-reported outcome measures (PROMs) is limited in paediatric routine clinical care. The KidsPRO programme has been codesigned to facilitate the implementation of PROMs in paediatric healthcare settings. Therefore, th
Externí odkaz:
https://doaj.org/article/9116e6818a824fa6abcf56e2937aa053
Autor:
Sumedh Bele, Sarah Rabi, Muning Zhang, Sadia Ahmed, Elizabeth Oddone Paolucci, David W. Johnson, Hude Quan, Maria J. Santana
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background Implementing Patient-reported Outcome Measures (PROMs) and Patient-reported Experience Measures (PREMs) is an effective way to deliver patient- and family-centered care (PFCC). Although Alberta Health Services (AHS) is Canada's la
Externí odkaz:
https://doaj.org/article/04aeb710989140dc80e79376b6087908