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Songchang Shi

Showing results (1-10 of 19) with videos related to

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Tissue & Cell|August 14, 2016
Sepsis leads to thyroid impairment and dysfunction in rat modelXingsheng Lin, Songjing Shi, Songchang Shi
Frontiers in Endocrinology|December 4, 2023
Predicting risk of obesity in overweight adults using interpretable machine learning algorithmsWei Lin, Songchang Shi, Huibin Huang, et al.
The Journal of Clinical Endocrinology and Metabolism|June 26, 2025
Integrative Machine Learning Approach for Predicting Resistance to First-Generation Receptor Ligands in AcromegalyWei Lin, Songchang Shi, Yuanyuan Zheng, et al.
Archives of Biochemistry and Biophysics|July 6, 2022
miR-6071 inhibits hepatocellular carcinoma progression via targeting PTPN11Minyong Chen, Huaxiang Wang, Songchang Shi, et al.
Frontiers in Medicine|February 24, 2022
Development of a Risk Model for Predicting Microalbuminuria in the Chinese Population Using Machine Learning AlgorithmsWei Lin, Songchang Shi, Huibin Huang, et al.
Journal of Infection and Chemotherapy : Official Journal of the Japan Society of Chemotherapy|November 19, 2019
The predictive value of procalcitonin for early detection of infection in elderly type 2 diabetes mellitusWei Lin, Huibin Huang, Junping Wen, et al.
BMC Infectious Diseases|November 27, 2021
Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathiesSongchang Shi, Xiaobin Pan, Hangwei Feng, et al.
Journal of Thoracic Disease|October 29, 2025
Identification of disease subtypes associated with prognosis in patients with intermediate-high-risk pulmonary embolism based on hierarchical cluster analysisLihui Zhang, Xincai Wang, Xiaobin Pan, et al.
Endocrine|September 30, 2023
Identification of influence factors in overweight population through an interpretable risk model based on machine learning: a large retrospective cohortWei Lin, Songchang Shi, Huiyu Lan, et al.
Journal of Translational Medicine|January 21, 2025
Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients-model establishment, internal and external validation, and visualizationSongchang Shi, Lihui Zhang, Shujuan Zhang, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Tissue & Cell|August 14, 2016
Sepsis leads to thyroid impairment and dysfunction in rat modelXingsheng Lin, Songjing Shi, Songchang Shi
Frontiers in Endocrinology|December 4, 2023
Predicting risk of obesity in overweight adults using interpretable machine learning algorithmsWei Lin, Songchang Shi, Huibin Huang, et al.
The Journal of Clinical Endocrinology and Metabolism|June 26, 2025
Integrative Machine Learning Approach for Predicting Resistance to First-Generation Receptor Ligands in AcromegalyWei Lin, Songchang Shi, Yuanyuan Zheng, et al.
Archives of Biochemistry and Biophysics|July 6, 2022
miR-6071 inhibits hepatocellular carcinoma progression via targeting PTPN11Minyong Chen, Huaxiang Wang, Songchang Shi, et al.
Frontiers in Medicine|February 24, 2022
Development of a Risk Model for Predicting Microalbuminuria in the Chinese Population Using Machine Learning AlgorithmsWei Lin, Songchang Shi, Huibin Huang, et al.
Journal of Infection and Chemotherapy : Official Journal of the Japan Society of Chemotherapy|November 19, 2019
The predictive value of procalcitonin for early detection of infection in elderly type 2 diabetes mellitusWei Lin, Huibin Huang, Junping Wen, et al.
BMC Infectious Diseases|November 27, 2021
Identification of transcriptomics biomarkers for the early prediction of the prognosis of septic shock from pneumopathiesSongchang Shi, Xiaobin Pan, Hangwei Feng, et al.
Journal of Thoracic Disease|October 29, 2025
Identification of disease subtypes associated with prognosis in patients with intermediate-high-risk pulmonary embolism based on hierarchical cluster analysisLihui Zhang, Xincai Wang, Xiaobin Pan, et al.
Endocrine|September 30, 2023
Identification of influence factors in overweight population through an interpretable risk model based on machine learning: a large retrospective cohortWei Lin, Songchang Shi, Huiyu Lan, et al.
Journal of Translational Medicine|January 21, 2025
Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients-model establishment, internal and external validation, and visualizationSongchang Shi, Lihui Zhang, Shujuan Zhang, et al.
Pageof 2