Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Pei-Ju Chao"'
Autor:
Tsair-Fwu Lee, Chu-Ho Chang, Chih-Hsuan Chi, Yen-Hsien Liu, Jen-Chung Shao, Yang-Wei Hsieh, Pei-Ying Yang, Chin-Dar Tseng, Chien-Liang Chiu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao, Shen-Hao Lee, Shyh-An Yeh
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Purpose This study explores integrating clinical features with radiomic and dosiomic characteristics into AI models to enhance the prediction accuracy of radiation dermatitis (RD) in breast cancer patients undergoing volumetric modulated arc
Externí odkaz:
https://doaj.org/article/deb3328d14b2461e9a4f2654d24d43ad
Autor:
Tsair-Fwu Lee, Chien-Liang Chiu, Yen-Hsien Liu, Chu-Ho Chang, Jen-Chung Shao, Shih-Sian Guo, Yi-Lun Liao, Chia-Hui Chen, Chin-Dar Tseng, Pei-Ju Chao, Shen-Hao Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The study aims to develop an abnormal body temperature probability (ABTP) model for dairy cattle, utilizing environmental and physiological data. This model is designed to enhance the management of heat stress impacts, providing an early war
Externí odkaz:
https://doaj.org/article/69915a2db126418aa2aa8d43b7764a75
Autor:
Tsair-Fwu Lee, Yen-Hsien Liu, Chu-Ho Chang, Chien-Liang Chiu, Chih-Hsueh Lin, Jen-Chung Shao, Yu-Cheng Yen, Guang-Zhi Lin, Jack Yang, Chin-Dar Tseng, Fu-Min Fang, Pei-Ju Chao, Shen-Hao Lee
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Purpose This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior p
Externí odkaz:
https://doaj.org/article/df84e7e0d00c41729986d40fc45a232f
Autor:
Tsair-Fwu Lee, Chu-Ho Chang, Jen-Chung Shao, Yen-Hsien Liu, Chien-Liang Chiu, Yang-Wei Hsieh, Shen-Hao Lee, Pei-Ju Chao, Shyh-An Yeh
Publikováno v:
Cancer Control, Vol 31 (2024)
This study explored the application of meta-analysis and convolutional neural network-natural language processing (CNN-NLP) technologies in classifying literature concerning radiotherapy for head and neck cancer. It aims to enhance both the efficienc
Externí odkaz:
https://doaj.org/article/249712bbda8d4c62a0a1c8e166c23946
Autor:
Pei-Ju Chao, Tsair-Fwu Lee
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
With advancements in medical technology, stereotactic radiosurgery (SRS) has become an essential option for treating benign intracranial tumors. Due to its minimal side effects and high local control rate, SRS is widely applied. This paper evaluates
Externí odkaz:
https://doaj.org/article/982075854ea8468184e477d3a020ffd5
Autor:
Tsair-Fwu Lee, Yang-Wei Hsieh, Pei-Ying Yang, Chi-Hung Tseng, Shen-Hao Lee, Jack Yang, Liyun Chang, Jia-Ming Wu, Chin-Dar Tseng, Pei-Ju Chao
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-21 (2024)
Abstract Purpose The study aims to enhance the efficiency and accuracy of literature reviews on normal tissue complication probability (NTCP) in head and neck cancer patients using radiation therapy. It employs meta-analysis (MA) and natural language
Externí odkaz:
https://doaj.org/article/89dec3a1cb2d4b93b408dfe57e208d93
Autor:
Chih-Hsueh Lin, Ping-I Hsu, Chin-Dar Tseng, Pei-Ju Chao, I-Ting Wu, Supratip Ghose, Chih-An Shih, Shen-Hao Lee, Jia-Hong Ren, Chang-Bih Shie, Tsair-Fwu Lee
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Helicobacter pylori (H. pylori) infection is the principal cause of chronic gastritis, gastric ulcers, duodenal ulcers, and gastric cancer. In clinical practice, diagnosis of H. pylori infection by a gastroenterologists’ impression of endo
Externí odkaz:
https://doaj.org/article/babe4c2399ba482daece5d1c04cb37ae
Autor:
Pei-Ju Chao, Liyun Chang, Chen-Lin Kang, Chin-Hsueh Lin, Chin-Shiuh Shieh, Jia-Ming Wu, Chin-Dar Tseng, I-Hsing Tsai, Hsuan-Chih Hsu, Yu-Jie Huang, Tsair-Fwu Lee
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Using deep learning models to analyze patients with intracranial tumors, to study the image segmentation and standard results by clinical depiction complications of cerebral edema after receiving radiotherapy. In this study, patients with in
Externí odkaz:
https://doaj.org/article/a4e19cccea514aa48658933fc43eab71
Publikováno v:
IEEE Access, Vol 10, Pp 52451-52461 (2022)
The digitalization of society has changed the practices of social service professionals. The primary objective of this study was to explore knowledge of mobile health apps (mHealth), specifically a government-owned My Health Bank app, among Taiwanese
Externí odkaz:
https://doaj.org/article/001fdd0510ed45d0b650c06b564a1c3f
Publikováno v:
IEEE Access, Vol 9, Pp 75751-75760 (2021)
Artificial Intelligence (AI) and related technologies have been employed to simulate human decision-making processes to improve people’s lives. Accordingly, AI knowledge and related competence are crucial, especially for students pursuing informati
Externí odkaz:
https://doaj.org/article/159eb178f01b4ab3803758491b9d3fa9