Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Lichin, Chen"'
Autor:
Pei-Fu Chen, Lichin Chen, Yow-Kuan Lin, Guo-Hung Li, Feipei Lai, Cheng-Wei Lu, Chi-Yu Yang, Kuan-Chih Chen, Tzu-Yu Lin
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 5, p e38241 (2022)
BackgroundMachine learning (ML) achieves better predictions of postoperative mortality than previous prediction tools. Free-text descriptions of the preoperative diagnosis and the planned procedure are available preoperatively. Because reading these
Externí odkaz:
https://doaj.org/article/eefd0ff375d545efb4f5329ec1fd350d
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249629 (2021)
This study aimed to explore the experiences of nursing students who have undertaken a short course in an overseas educational system to generate theoretical understanding of the experience of studying abroad. Learning in the health professions needs
Externí odkaz:
https://doaj.org/article/0cd2429924b74984ac081a172e01c2a1
Publikováno v:
Journal of Professional Nursing. 40:105-110
Reflective learning plays an important role in students' professional and personal development. However, some nursing curricula provide insufficient opportunity for students to understand how to reflect and what reflection is.The study aimed to explo
Publikováno v:
Studies in health technology and informatics. 290
Maldistribution of healthcare resources among urban and rural areas is a significant challenge worldwide. People living in rural areas may have limited access to medical resources, and often neglect their health problems or receive insufficient care
Maldistribution of healthcare resources among urban and rural areas is a significant challenge worldwide. People living in rural areas may have limited access to medical resources, and often neglect their health problems or receive insufficient care
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d818430d98abc7faac5187c521d8e821
https://doi.org/10.3233/shti220175
https://doi.org/10.3233/shti220175
Autor:
Pei-Fu Chen, Lichin Chen, Yow-Kuan Lin, Guo-Hung Li, Feipei Lai, Cheng-Wei Lu, Chi-Yu Yang, Kuan-Chih Chen, Tzu-Yu Lin
BACKGROUND Machine learning (ML) achieves better predictions of postoperative mortality than previous prediction tools. Free-text descriptions of the preoperative diagnosis and the planned procedure are available preoperatively. Because reading these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0669622b4cd0ee037b82d3b70a51d6a2
https://doi.org/10.2196/preprints.38241
https://doi.org/10.2196/preprints.38241
Publikováno v:
Contemporary nurse. 57(6)
Newly Graduated Nurses in different socio-cultural contexts confront dissimilar situations and influences on role transfer. It is important to understand how newly graduated nurses reconstruct their own professional concept of clinical nurses.This st
Publikováno v:
Nurse education today. 115
Didactic lectures and exam-oriented learning can lead to students becoming passive learners who rely on rote memory. This learning style negatively impacts their ability to cultivate the core nursing values and critical thinking.This study aimed to i
Publikováno v:
Medinfo; 2021, Vol. 290, p734-738, 5p
Autor:
Feipei Lai, Lichin Chen, Chia-Yi Chen, Fong-Ci Lin, Te-Wei Ho, Xing-Yu Su, Chia-Wen Lu, Kuo-Chin Huang
Publikováno v:
EUSPN/ICTH
Obesity has become an important health issue in Taiwan due to its increasing prevalence among population and the patients are getting younger. In this research, we build a health care information system, named the Pauian Health, for people who were o