Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kaida Cai

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Applied Optics|June 18, 2021
Ultra-compact electro-optic modulator based on alternative plasmonic materialQiqin Wei, Jing Xiao, Daoguo Yang, et al.
Statistics in Medicine|December 2, 2025
A New Streaming K-Nearest Neighbor Algorithm for Status Prediction in Block-Sparse, Autocorrelated, Irregular Longitudinal DataXin Zhao, Xiaokai Nie, Yu Zhao, et al.
Lifetime Data Analysis|May 29, 2026
Variable selection with broken adaptive ridge regression for interval-censored competing risks dataFatemeh Mahmoudi, Chenxi Li, Kaida Cai, et al.
Viruses|October 26, 2024
Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning ApproachKaida Cai, Zhengyan Wang, Xiaofang Yang, et al.
Entropy (Basel, Switzerland)|August 29, 2024
Machine Learning-Based Risk Prediction of Discharge Status for SepsisKaida Cai, Yuqing Lou, Zhengyan Wang, et al.
Micromachines|July 30, 2025
Encapsulation Process and Dynamic Characterization of SiC Half-Bridge Power Module: Electro-Thermal Co-Design and Experimental ValidationKaida Cai, Jing Xiao, Xingwei Su, et al.
International Journal of Molecular Sciences|September 28, 2024
Predicting Antidiabetic Peptide Activity: A Machine Learning Perspective on Type 1 and Type 2 DiabetesKaida Cai, Zhe Zhang, Wenzhou Zhu, et al.
Genes|January 8, 2025
Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung AdenocarcinomaKaida Cai, Wenzhi Fu, Hanwen Liu, et al.
Scientific Reports|July 2, 2025
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modelingKaida Cai, Xiaofang Yang, Zhengyan Wang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival AnalysisKaida Cai, Wenzhi Fu, Zhengyan Wang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Applied Optics|June 18, 2021
Ultra-compact electro-optic modulator based on alternative plasmonic materialQiqin Wei, Jing Xiao, Daoguo Yang, et al.
Statistics in Medicine|December 2, 2025
A New Streaming K-Nearest Neighbor Algorithm for Status Prediction in Block-Sparse, Autocorrelated, Irregular Longitudinal DataXin Zhao, Xiaokai Nie, Yu Zhao, et al.
Lifetime Data Analysis|May 29, 2026
Variable selection with broken adaptive ridge regression for interval-censored competing risks dataFatemeh Mahmoudi, Chenxi Li, Kaida Cai, et al.
Viruses|October 26, 2024
Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning ApproachKaida Cai, Zhengyan Wang, Xiaofang Yang, et al.
Entropy (Basel, Switzerland)|August 29, 2024
Machine Learning-Based Risk Prediction of Discharge Status for SepsisKaida Cai, Yuqing Lou, Zhengyan Wang, et al.
Micromachines|July 30, 2025
Encapsulation Process and Dynamic Characterization of SiC Half-Bridge Power Module: Electro-Thermal Co-Design and Experimental ValidationKaida Cai, Jing Xiao, Xingwei Su, et al.
International Journal of Molecular Sciences|September 28, 2024
Predicting Antidiabetic Peptide Activity: A Machine Learning Perspective on Type 1 and Type 2 DiabetesKaida Cai, Zhe Zhang, Wenzhou Zhu, et al.
Genes|January 8, 2025
Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung AdenocarcinomaKaida Cai, Wenzhi Fu, Hanwen Liu, et al.
Scientific Reports|July 2, 2025
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modelingKaida Cai, Xiaofang Yang, Zhengyan Wang, et al.
Entropy (Basel, Switzerland)|September 27, 2024
Optimizing Prognostic Predictions in Liver Cancer with Machine Learning and Survival AnalysisKaida Cai, Wenzhi Fu, Zhengyan Wang, et al.
Pageof 2