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BioData mining

Showing results (271-280 of 671) with videos related to

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Biodata Mining|July 25, 2019
Disease associations depend on visit type: results from a visit-wide association studyMary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, et al.
Biodata Mining|March 16, 2017
Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfacesElishai Ezra Tsur
Biodata Mining|January 31, 2026
Automatic clear cell renal cell carcinoma grading framework using histopathological images via artificial intelligence: a benchmarking studyHongde Song, Meng Yuan, Zhixi Li, et al.
Biodata Mining|May 14, 2015
The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case studyLogan Dumitrescu, Robert Goodloe, Yukiko Bradford, et al.
Biodata Mining|March 10, 2023
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithmsShuo-Ming Ou, Ming-Tsun Tsai, Kuo-Hua Lee, et al.
Biodata Mining|April 23, 2015
Mining causal relationships among clinical variables for cancer diagnosis based on Bayesian analysisLiMin Wang
Biodata Mining|February 20, 2026
KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems modelMax Gordon, Turgut Yigit Akyol, B Amos, et al.
Biodata Mining|August 25, 2025
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based studyYanpeng Jian, Shijia Dong, Weijie Liu, et al.
Biodata Mining|June 2, 2015
Predicting linear B-cell epitopes using amino acid anchoring pair compositionWeike Shen, Yuan Cao, Lei Cha, et al.
Biodata Mining|August 21, 2025
The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter studyYao Li, Siyuan Zhou, Bichen Ren, et al.
Pageof 68

Showing results (271-280 of 671) with videos related to

Sort By:
Pageof 68
Biodata Mining|July 25, 2019
Disease associations depend on visit type: results from a visit-wide association studyMary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, et al.
Biodata Mining|March 16, 2017
Rapid development of entity-based data models for bioinformatics with persistence object-oriented design and structured interfacesElishai Ezra Tsur
Biodata Mining|January 31, 2026
Automatic clear cell renal cell carcinoma grading framework using histopathological images via artificial intelligence: a benchmarking studyHongde Song, Meng Yuan, Zhixi Li, et al.
Biodata Mining|May 14, 2015
The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case studyLogan Dumitrescu, Robert Goodloe, Yukiko Bradford, et al.
Biodata Mining|March 10, 2023
Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithmsShuo-Ming Ou, Ming-Tsun Tsai, Kuo-Hua Lee, et al.
Biodata Mining|April 23, 2015
Mining causal relationships among clinical variables for cancer diagnosis based on Bayesian analysisLiMin Wang
Biodata Mining|February 20, 2026
KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems modelMax Gordon, Turgut Yigit Akyol, B Amos, et al.
Biodata Mining|August 25, 2025
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based studyYanpeng Jian, Shijia Dong, Weijie Liu, et al.
Biodata Mining|June 2, 2015
Predicting linear B-cell epitopes using amino acid anchoring pair compositionWeike Shen, Yuan Cao, Lei Cha, et al.
Biodata Mining|August 21, 2025
The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter studyYao Li, Siyuan Zhou, Bichen Ren, et al.
Pageof 68