Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jenny L. Wu"'
Publikováno v:
Trends in Psychiatry and Psychotherapy, Vol 45 (2023)
Abstract Objectives Self-guided, asynchronous, online interventions may provide college students access to evidence-based care, while mitigating barriers like limited hours of service. Thus, we examined the preliminary effectiveness of a 45-minute, s
Externí odkaz:
https://doaj.org/article/6e2b860b09ed479f87d5ba1a0e3a03f8
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Introduction: A third of the world's population is classified as having Metabolic Syndrome (MetS). Traditional diagnostic criteria for MetS are based on three or more of five components. However, the outcomes of patients with different combinations o
Externí odkaz:
https://doaj.org/article/be40b2d0f76a4998bb6dda8a5858473c
Autor:
Yu, Kuan-Lin Chiu, Yu-Da Chen, Sen-Te Wang, Tzu-Hao Chang, Jenny L Wu, Chun-Ming Shih, Cheng-Sheng
Publikováno v:
Metabolites; Volume 13; Issue 7; Pages: 822
Metabolic syndrome (MetS) includes several conditions that can increase an individual’s predisposition to high-risk cardiovascular events, morbidity, and mortality. Non-alcoholic fatty liver disease (NAFLD) is a predominant cause of cirrhosis, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::fd021384754cc24cfe32d46dc8595109
Publikováno v:
European Journal of Gastroenterology & Hepatology. 33:1117-1123
OBJECTIVE End-stage liver disease is a global public health problem with a high mortality rate. Early identification of people at risk of poor prognosis is fundamental for decision-making in clinical settings. This study created a machine learning pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea1fe19bbb4cc2eb37a6f658237c9319
https://doi.org/10.1097/meg.0000000000002169
https://doi.org/10.1097/meg.0000000000002169
Publikováno v:
Trends in psychiatry and psychotherapy. 44
Self-guided asynchronous online interventions may provide college students access to evidence-based care, while mitigating barriers like limited hours of service. Thus, we examined the preliminary effectiveness of a 45-minute self-guided, asynchronou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dafe85330353d85c89de477777d814a2
https://pubmed.ncbi.nlm.nih.gov/35714057
https://pubmed.ncbi.nlm.nih.gov/35714057
Autor:
Cheng-Sheng Yu, Shy-Shin Chang, Tzu-Hao Chang, Jenny L Wu, Yu-Jiun Lin, Hsiung-Fei Chien, Ray-Jade Chen
UNSTRUCTURED This is a correction for the published manuscript: A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study (J Med Internet R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4836773353d781c459d15029a2affed
https://doi.org/10.2196/preprints.31085
https://doi.org/10.2196/preprints.31085
Autor:
Cheng-Sheng Yu, Shy-Shin Chang, Tzu-Hao Chang, Jenny L Wu, Yu-Jiun Lin, Hsiung-Fei Chien, Ray-Jade Chen
BACKGROUND More than 79.2 million confirmed COVID-19 cases and 1.7 million deaths were caused by SARS-CoV-2; the disease was named COVID-19 by the World Health Organization. Control of the COVID-19 epidemic has become a crucial issue around the globe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a555056ce364a7caa326c4243df5e1
https://doi.org/10.2196/preprints.27806
https://doi.org/10.2196/preprints.27806
Autor:
Li Chuan Chen, Cheng Sheng Yu, Shy Shin Chang, Jui Hsiang Tang, Yu Jiun Lin, Jenny L. Wu, Ray Jade Chen
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 10, p e24305 (2020)
JMIR Medical Informatics
JMIR Medical Informatics
Background Patients with end-stage liver disease (ESLD) have limited treatment options and have a deteriorated quality of life with an uncertain prognosis. Early identification of ESLD patients with a poor prognosis is valuable, especially for pallia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbbe099d6bf9f2970e465a694631f9e8
http://medinform.jmir.org/2020/10/e24305/
http://medinform.jmir.org/2020/10/e24305/
Autor:
Yu-Jiun Lin, Ray-Jade Chen, Jui-Hsiang Tang, Cheng-Sheng Yu, Jenny L Wu, Li-Chuan Chen, Shy-Shin Chang
BACKGROUND Patients with end-stage liver disease (ESLD) have limited treatment options and have a deteriorated quality of life with an uncertain prognosis. Early identification of ESLD patients with a poor prognosis is valuable, especially for pallia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a9e7eff38184ed070fc8e701eb01610
https://doi.org/10.2196/preprints.24305
https://doi.org/10.2196/preprints.24305