Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ssu-Ming Wang"'
Autor:
Chia-Tung Wu, Ssu-Ming Wang, Yi-En Su, Tsung-Ting Hsieh, Pei-Chen Chen, Yu-Chieh Cheng, Tzu-Wei Tseng, Wei-Sheng Chang, Chang-Shinn Su, Lu-Cheng Kuo, Jung-Yien Chien, Feipei Lai
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-14 (2022)
This paper presents an integrated and scalable precision health service for health promotion and chronic disease prevention. Continuous real-time monitoring of lifestyle and environmental factors is implemented by integrating wearable devices, open e
Externí odkaz:
https://doaj.org/article/6b3ec8be02bd45bfb38e2f115a411257
Autor:
Pei-Fu Chen, Tai-Liang He, Sheng-Che Lin, Yuan-Chia Chu, Chen-Tsung Kuo, Feipei Lai, Ssu-Ming Wang, Wan-Xuan Zhu, Kuan-Chih Chen, Lu-Cheng Kuo, Fang-Ming Hung, Yu-Cheng Lin, I-Chang Tsai, Chi-Hao Chiu, Shu-Chih Chang, Chi-Yu Yang
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 11, p e41342 (2022)
BackgroundThe automatic coding of clinical text documents by using the International Classification of Diseases, 10th Revision (ICD-10) can be performed for statistical analyses and reimbursements. With the development of natural language processing
Externí odkaz:
https://doaj.org/article/c92b9605379e4ee3864640a08d02d76e
Autor:
Chia-Tung Wu, Yi-En Su, Yu-Hsia Chen, Tsung-Ting Hsieh, Pei-Chen Chen, Ssu-Ming Wang, Tzu-Wei Tseng, Lu-Cheng Kuo, Feipei Lai, Bih-Shya Gau
BACKGROUND The dramatic increase in adolescent obesity is a serious public health crisis in the world. The World Health Organization has projected that by 2030, adolescent obesity will reach 254 million children worldwide. Increasing evidences show t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f67c09d1c1cd57c444b7aa5b86ccab31
https://doi.org/10.2196/preprints.39173
https://doi.org/10.2196/preprints.39173
Autor:
Pei-Fu Chen, Ssu-Ming Wang, Wei-Chih Liao, Lu-Cheng Kuo, Kuan-Chih Chen, Yu-Cheng Lin, Chi-Yu Yang, Chi-Hao Chiu, Shu-Chih Chang, Feipei Lai
BACKGROUND The International Classification of Diseases (ICD) code is widely used as the reference in medical system and billing purposes. However, classifying diseases into ICD codes still mainly relies on humans reading a large amount of written ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd90c1b08a3ff35f3fe98a82e2225d89
https://doi.org/10.2196/preprints.23230
https://doi.org/10.2196/preprints.23230
Autor:
Ssu Ming Wang, Kuan Chih Chen, Wei-Chih Liao, Chi Yu Yang, Feipei Lai, Yu Cheng Lin, Shu Chih Chang, Pei Fu Chen, Chi Hao Chiu, Lu-Cheng Kuo
Publikováno v:
JMIR Medical Informatics
Background The International Classification of Diseases (ICD) code is widely used as the reference in medical system and billing purposes. However, classifying diseases into ICD codes still mainly relies on humans reading a large amount of written ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f823998e8e03893ddd16795fe8c585ef
https://doi.org/10.2196/23230
https://doi.org/10.2196/23230