Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Man Hung"'
Autor:
Jerry Bounsanga, Bianca Ruiz-Negrón, Jungweon Park, Dawei Wang, Sara Moazzami, Eric S. Hon, Man Hung
Publikováno v:
World Journal of Clinical Oncology
Background Oral cancer is the sixth most prevalent cancer worldwide. Public knowledge in oral cancer risk factors and survival is limited. Aim To come up with machine learning (ML) algorithms to predict the length of survival for individuals diagnose
Autor:
Wei Li, Man Hung, Weicong Su, Eric S. Hon, Xiaoming Sheng, Yao He, Richard Holubkov, Sharon Su, Martin S. Lipsky
Publikováno v:
Risk Management and Healthcare Policy. 13:2047-2056
Introduction It is unknown whether patients admitted for all-cause dental conditions (ACDC) are at high risk for hospital readmission, or what are the risk factors for dental hospital readmission. Objective We examined the prevalence of, and risk fac
Autor:
Yao He, Sharon Su, Xiaoming Sheng, Weicong Su, Martin S. Lipsky, Man Hung, Richard Holubkov, Wei Li, Eric S. Hon
Publikováno v:
BDJ Open
BDJ Open, Vol 7, Iss 1, Pp 1-7 (2021)
BDJ Open, Vol 7, Iss 1, Pp 1-7 (2021)
Introduction Hospital readmission rates are an indicator of the health care quality provided by hospitals. Applying machine learning (ML) to a hospital readmission database offers the potential to identify patients at the highest risk for readmission
Publikováno v:
Health Services Research and Managerial Epidemiology
Health Services Research & Managerial Epidemiology, Vol 7 (2020)
Health Services Research & Managerial Epidemiology, Vol 7 (2020)
Background:Atrial fibrillation (AF) in the elderly population is projected to increase over the next several decades. Catheter ablation shows promise as a treatment option and is becoming increasingly available. We examined 90-day hospital readmissio
Autor:
Jakob Hjorth von Stemann, Christian Brieghel, Bruno Ledergerber, Christen Lykkegaard Andersen, Michael A. E. Andersen, Jasmin Bahlo, Cameron Ross MacPherson, Alexander T. Pearson, Jens D Lundgren, Magnus Fontes, Rudi Agius, Michael Hallek, Man-Hung Eric Tang, Carsten Utoft Niemann, Jan Larsen, Jacob Bergstedt, Mette Rose Jørgensen, Yoram Louzoun, Carmen D. Herling, Alessandro Cozzi-Lepri
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M-H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Agius, R, Brieghel, C, Andersen, M A, Pearson, A T, Ledergerber, B, Cozzi-Lepri, A, Louzoun, Y, Andersen, C L, Bergstedt, J, von Stemann, J H, Jørgensen, M, Tang, M-H E, Fontes, M, Bahlo, J, Herling, C D, Hallek, M, Lundgren, J, MacPherson, C R, Larsen, J & Niemann, C U 2020, ' Machine learning can identify newly diagnosed patients with CLL at high risk of infection ', Nature Communications, vol. 11, no. 1, 363 . https://doi.org/10.1038/s41467-019-14225-8
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop
Autor:
Man Hung, Weicong Su, Evelyn Lauren, Frank W. Licari, Joseph Cheever, Julie Xu, Bianca Ruiz-Negrón, David Prince, Eric S. Hon, Jungweon Park, Ryan Moffat
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 17
Issue 19
International Journal of Environmental Research and Public Health, Vol 17, Iss 7286, p 7286 (2020)
Volume 17
Issue 19
International Journal of Environmental Research and Public Health, Vol 17, Iss 7286, p 7286 (2020)
The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure
Autor:
Evelyn Lauren, Jungweon Park, Wendy C. Birmingham, Man Hung, Sharon Su, Eric S. Hon, Shirley D. Hon, Peter Dang, Martin S. Lipsky, Julie Xu
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 8, p e22590 (2020)
Journal of Medical Internet Research, Vol 22, Iss 8, p e22590 (2020)
Background The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic. Objective The aim of this study is to analyze disc
Autor:
Weicong Su, Eric S. Hon, Bianca Ruiz-Negrón, Jacob O’Brien, Tanner Barton, Megan N. Rosales, Evelyn Lauren, Julie Xu, Man Hung, Wei Li
Publikováno v:
Journal of Personalized Medicine
Volume 10
Issue 3
Journal of Personalized Medicine, Vol 10, Iss 82, p 82 (2020)
Volume 10
Issue 3
Journal of Personalized Medicine, Vol 10, Iss 82, p 82 (2020)
Atrial fibrillation (AF) cases are expected to increase over the next several decades, due to the rise in the elderly population. One promising treatment option for AF is catheter ablation, which is increasing in use. We investigated the hospital rea
Publikováno v:
Pain practice : the official journal of World Institute of Pain. 18(5)
Background Arthritis is the leading cause of work disability and contributes to lost productivity. Previous studies showed that various factors predict pain but they were limited in sample size and scope from a data analytics perspective. Objectives