Results 71 to 80 of about 549,011 (106)

[Development and feasibility analysis of a parenting strategy mini-program for preventing anxiety and depression in adolescents]. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban
Li G, Yang M, Hu Y.
europepmc   +1 more source

[A Transformer-based model using laboratory indicators efficiently differentiates ovarian cancer]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Tan S, Zhuo L, Zeng M, Huang F, Zhu J, Cai G, Zhen X.   +6 more
europepmc   +1 more source

[Cluster-guided adaptive Transformer for muscle fatigue prediction]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Fan B, Bao X, Ding L, Wu J.
europepmc   +1 more source

[Disease burden and trends of preterm birth in China from 1990 to 2023]. [PDF]

Zhongguo Dang Dai Er Ke Za Zhi
Lin R, Li PP, Lan CY, Zheng Z, Lin XZ.
europepmc   +1 more source

[Application of an interpretable neural network framework based on the LASSO-proj algorithm for warfarin dose prediction]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Zhong C, Zhu Y, Gu X.
europepmc   +1 more source

[Three-party game and simulation analysis of health-related information quality regulation in public health emergencies]. [PDF]

Beijing Da Xue Xue Bao Yi Xue Ban
Wang Y, Yuan R, Li S, Chang C.
europepmc   +1 more source

[Development and practice of an interactive chromatography learning tool for beginners based on GeoGebra： a case study of plate theory]. [PDF]

Se Pu
Zhang YH, He JY, Lin SJ, Ai BJ, Shi ZH, Zhang HY.   +5 more
europepmc   +1 more source

[Determination of 18 Perfluorinated Compounds in Tea Leaves by a Quick, Easy, Cheap, Effective, Rugged, and Safe Method Combined With Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry]. [PDF]

Sichuan Da Xue Xue Bao Yi Xue Ban
Sun W, Chuai Y, Zhou X, Zhang T, Yong L, Ren L, Luo X, Zou X.   +7 more
europepmc   +1 more source

[Changes and forecast of the disease burden of senile dementias among Chinese residents from 1992 to 2021]. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban
Zhang X, Pan M.
europepmc   +1 more source

[Hierarchical attention-driven multiple instance learning for clear cell renal cell carcinoma grading and staging in digital pathology]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Xu J, Mao Y, Zhang Y.
europepmc   +1 more source