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Satyanarayana Poojari

Showing results (1-10 of 8) with videos related to

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Journal of Education and Health Promotion|February 2, 2026
A novel approach for accurate disease prediction: Application to heart and liver diseasesSatyanarayana Poojari, B Ismail
BMC Medical Research Methodology|September 1, 2025
Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchersAsha Kamath, Satyanarayana Poojari, K Varsha
Methodsx|February 9, 2026
Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive reviewVinitha Serrao, Satyanarayana Poojari, Asha Kamath
Journal of Education and Health Promotion|May 28, 2026
Prediction of polycystic ovary syndrome using machine learning models: Addressing class imbalance and high dimensionalitySachin Acharya, Satyanarayana Poojari, Asha Kamath
Scientific Reports|November 17, 2025
Application of empirical likelihood ratio test in AR(1) time series model for PM<sub>2.5</sub> forecasting in Guwahati city of AssamVinitha Serrao, Satyanarayana Poojari, Ismail B, et al.
BMC Medical Research Methodology|June 20, 2026
Challenges and recent advances in methods for handling imbalanced multiclass classification problems: a methodological reviewSachin Acharya, Satyanarayana Poojari, Vani Lakshmi R, et al.
Clinical and Translational Science|May 11, 2026
Impact of EGFR Mutations on Survival and Clinical Response in Non-Small Cell Lung Cancer in a Tertiary Care HospitalGayathri Baburaj, Ananth Pai, Varun Kumar Sudha Gururaj, et al.
BMC Medical Informatics and Decision Making|March 14, 2026
Artificial intelligence-based approaches for monitoring medication adherence among cardiovascular disease patients: a scoping reviewNishit Kumar Bebarta, Anusree Prabhakaran, Abhinav Bhat, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Education and Health Promotion|February 2, 2026
A novel approach for accurate disease prediction: Application to heart and liver diseasesSatyanarayana Poojari, B Ismail
BMC Medical Research Methodology|September 1, 2025
Assessing the robustness of normality tests under varying skewness and kurtosis: a practical checklist for public health researchersAsha Kamath, Satyanarayana Poojari, K Varsha
Methodsx|February 9, 2026
Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive reviewVinitha Serrao, Satyanarayana Poojari, Asha Kamath
Journal of Education and Health Promotion|May 28, 2026
Prediction of polycystic ovary syndrome using machine learning models: Addressing class imbalance and high dimensionalitySachin Acharya, Satyanarayana Poojari, Asha Kamath
Scientific Reports|November 17, 2025
Application of empirical likelihood ratio test in AR(1) time series model for PM<sub>2.5</sub> forecasting in Guwahati city of AssamVinitha Serrao, Satyanarayana Poojari, Ismail B, et al.
BMC Medical Research Methodology|June 20, 2026
Challenges and recent advances in methods for handling imbalanced multiclass classification problems: a methodological reviewSachin Acharya, Satyanarayana Poojari, Vani Lakshmi R, et al.
Clinical and Translational Science|May 11, 2026
Impact of EGFR Mutations on Survival and Clinical Response in Non-Small Cell Lung Cancer in a Tertiary Care HospitalGayathri Baburaj, Ananth Pai, Varun Kumar Sudha Gururaj, et al.
BMC Medical Informatics and Decision Making|March 14, 2026
Artificial intelligence-based approaches for monitoring medication adherence among cardiovascular disease patients: a scoping reviewNishit Kumar Bebarta, Anusree Prabhakaran, Abhinav Bhat, et al.
Pageof 1