Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jia Yan Tan"'
Predicting Overall Survival Using Machine Learning Algorithms in Oral Cavity Squamous Cell Carcinoma
Publikováno v:
Anticancer Research. 42:5859-5866
Machine learning (ML) models are often modelled to predict cancer prognosis but rarely consider spatial factors in a region. Hence this study explored machine learning algorithms utilising Local Government Areas (LGAs) in Queensland, Australia to spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab6d3cb2ada212ff0c6418f04df09604
https://doi.org/10.21873/anticanres.16094
https://doi.org/10.21873/anticanres.16094
Publikováno v:
Head & Neck.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34213d2937948a5eaa55cd6423ec45e
https://doi.org/10.1002/hed.27401
https://doi.org/10.1002/hed.27401
Publikováno v:
Clinical Oral Investigations. 25:6909-6918
To compare the treatment response and prognosis of oral cavity cancer between non-smoking and non-alcohol-drinking (NSND) patients and smoking and alcohol-drinking (SD) patients. A total of 313 consecutively treated patients from 2000 to 2019 were in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25273b996d32332c0a420a69b5cb6ce
https://doi.org/10.1007/s00784-021-03981-x
https://doi.org/10.1007/s00784-021-03981-x
Autor:
John Adeoye, Abdulrahman Sakeen Alkandari, Jia Yan Tan, Weilan Wang, Wang‐Yong Zhu, Peter Thomson, Li‐Wu Zheng, Siu‐Wai Choi, Yu‐Xiong Su
Publikováno v:
Journal of oral pathologymedicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral PathologyREFERENCES. 51(5)
Impact and efficiency of oral cancer and oral potentially malignant disorders screening are most realized in "at-risk" individuals. However, tools that can provide essential knowledge on individuals' risks are not applied in risk-based screening. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87e96aa0e232c5bbaedd32dda9c61586
https://pubmed.ncbi.nlm.nih.gov/35312123
https://pubmed.ncbi.nlm.nih.gov/35312123
Publikováno v:
HeadneckREFERENCES. 43(11)
Oral cavity cancer is often described as a lifestyle-related malignancy due to its strong associations with habitual factors, including tobacco use, heavy alcohol consumption, and betel nut chewing. However, patients with no genetically predisposing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d04d81285ee4f53c53d8fa531b8075e
https://pubmed.ncbi.nlm.nih.gov/34313348
https://pubmed.ncbi.nlm.nih.gov/34313348
Publikováno v:
International journal of medical informatics. 154
Objectives Machine learning platforms are now being introduced into modern oncological practice for classification and prediction of patient outcomes. To determine the current status of the application of these learning models as adjunctive decision-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6df9adc42cacc874f21b9c5ea15860
https://pubmed.ncbi.nlm.nih.gov/34455119
https://pubmed.ncbi.nlm.nih.gov/34455119
Publikováno v:
International journal of medical informatics. 157
Background Applying machine learning to predicting oral cavity cancer prognosis is important in selecting candidates for aggressive treatment following diagnosis. However, models proposed so far have only considered cancer survival as discrete rather
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33f563a877b3573b2b712e0b58905085
https://pubmed.ncbi.nlm.nih.gov/34800847
https://pubmed.ncbi.nlm.nih.gov/34800847
Autor:
Susan Yung, Jia Yan Tan, Joyce Man-Fong Lee, Raymond Chuen-Chung Chang, Yuen Shan Ho, Chi Fai Lau, Krit Lee
Publikováno v:
Brain research bulletin. 169
Introduction Cognitive impairment is a common complication in chronic kidney disease (CKD) patients. Currently, limited types of animal models are available for studying cognitive impairment in CKD. We used unilateral ureteral obstruction (UUO) in mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e68fb5186ea270b460670bc051745747
https://pubmed.ncbi.nlm.nih.gov/33422661
https://pubmed.ncbi.nlm.nih.gov/33422661
Autor:
Adeoye, John1 (AUTHOR), Wan, Chi Ching Joan1 (AUTHOR), Zheng, Li-Wu1 (AUTHOR), Thomson, Peter2 (AUTHOR), Choi, Siu-Wai1 (AUTHOR) htswchoi@hku.hk, Su, Yu-Xiong1 (AUTHOR) htswchoi@hku.hk
Publikováno v:
Cancers. Oct2022, Vol. 14 Issue 19, p4935. 15p.
Autor:
Sulochana, C.1, Sumathi, M.2
Publikováno v:
Journal of Algebraic Statistics. 2022, Vol. 13 Issue 3, p3542-3550. 9p.