Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Do, Dinh Tung"'
Autor:
Pham, Ngoc Khanh, Bui, Huu Tai, Tran, Thu Huong, Hoang, Thi Ngoc Anh, Vu, Thi Ha, Do, Dinh Tung, Kim, Young Ho, Song, Seok Bean, To, Dao Cuong, Nguyen, Manh Cuong
Publikováno v:
In Steroids November 2021 175
The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes
Autor:
Linh Phuong Nguyen, Do Dinh Tung, Duong Thanh Nguyen, Hong Nhung Le, Toan Quoc Tran, Ta Van Binh, Dung Thuy Nguyen Pham
Publikováno v:
Diagnostics, Vol 13, Iss 12, p 2087 (2023)
This paper investigates the use of machine learning algorithms to aid medical professionals in the detection and risk assessment of diabetes. The research employed a dataset gathered from individuals with type 2 diabetes in Ninh Binh, Vietnam. A vari
Externí odkaz:
https://doaj.org/article/cc359038ae934431be7b3cfbf7d90654
Publikováno v:
Tạp chí Nghiên cứu Y học. 166:29-35
Autosomal dominant polycystic kidney disease (ADPKD) is a form of polycystic kidney disease (PKD) in which cysts develop within the kidneys, causing the kidneys to enlarge and lose function over time. ADPKD is caused by mutations in two major genes:
Autor:
Tran Quang Binh, Pham Tran Phuong, Nguyen Thanh Chung, Bui Thi Nhung, Do Dinh Tung, Tran Quang Thuyen, Duong Tuan Linh, Bui Thi Thuy Nga, Nguyen Anh Ngoc, Le Danh Tuyen
Publikováno v:
International Journal of Endocrinology, Vol 2019 (2019)
Background. Uric acid is a powerful free-radical scavenger in humans, but hyperuricemia may induce insulin resistance and beta-cell dysfunction. The study aimed to evaluate the association between hyperuricemia and hyperglycemia, considering the conf
Externí odkaz:
https://doaj.org/article/685408a4ba15476f83f4fbdbb7f4d439
The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes
Autor:
Pham, Linh Phuong Nguyen, Do Dinh Tung, Duong Thanh Nguyen, Hong Nhung Le, Toan Quoc Tran, Ta Van Binh, Dung Thuy Nguyen
Publikováno v:
Diagnostics; Volume 13; Issue 12; Pages: 2087
This paper investigates the use of machine learning algorithms to aid medical professionals in the detection and risk assessment of diabetes. The research employed a dataset gathered from individuals with type 2 diabetes in Ninh Binh, Vietnam. A vari
Autor:
Le Thi Kim Chung, Tran Quang Binh, Bui Thi Thuy Nga, Bui Thi Nhung, Tran Quang Thuyen, Duong Tuan Linh, Pham Tran Phuong, Nguyen Anh Ngoc, Do Dinh Tung
Publikováno v:
Biochemical Genetics
The study aimed to evaluate the contribution of the FTO A/T polymorphism (rs9939609) to the prediction of the future type 2 diabetes (T2D). A population-based prospective study included 1443 nondiabetic subjects at baseline, and they were examined fo
Autor:
Nguyen Thi Thu Trang, Wan-Chun Chiu, Yu-Ting Feng, Shu-Lin Hsieh, Do Dinh Tung, Jungshan Chang, Tsorng-Harn Fong
Publikováno v:
Evidence-based complementary and alternative medicine : eCAM. 2022
Abnormal lipolysis is correlated with metabolic syndrome. Caffeic acid phenethyl ester (CAPE), a natural product from honeybee hives, has been reported to improve metabolic syndrome. However, the effects of CAPE on lipolysis and perilipin-1 (the majo
Akademický článek
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Autor:
Bui Thi Nhung, Duong Tuan Linh, Tran Quang Thuyen, Nguyen Thanh Chung, Nguyen Anh Ngoc, Le Danh Tuyen, Bui Thi Thuy Nga, Tran Quang Binh, Do Dinh Tung, Pham Tran Phuong
Publikováno v:
International Journal of Endocrinology
International Journal of Endocrinology, Vol 2019 (2019)
International Journal of Endocrinology, Vol 2019 (2019)
Background. Uric acid is a powerful free-radical scavenger in humans, but hyperuricemia may induce insulin resistance and beta-cell dysfunction. The study aimed to evaluate the association between hyperuricemia and hyperglycemia, considering the conf
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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