Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along with Recursive Feature Elimination for COVID-19

Singh, Kamakhya Narain; Mantri, Jibendu Kumar; Kakulapati, V.; Sharma, Suraj; Patra, Sudhanshu Sekhar; Misra, Chinmay; Kumar, Nitesh

doi:10.1007/978-981-15-7317-0_16

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…It is an integration of bagging and boosting techniques. SGB 25 is a supervised learning approach that combines boosting with decision trees to create a forecast by evaluating ensemble participants from all trees. The new classifier is trained iteratively following the steepest descent direction of the preceding tree's error function.…”

Section: Stochastic Gradient Boostingmentioning

confidence: 99%

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2023

IJPSR

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The epidemic of COVID-19 provides various issues for healthcare professionals. Rapid assessment and treatment, vulnerability classification, efficient use of critical care facilities, adequate medications, surveillance, and prompt discharge, are crucial to protect as many casualties as possible. We described different classification techniques of ML (machine learning) to analyze skinrelated issues. This research aims to provide adequate skin specialists with a strategic plan to understand that they may diagnose its prospects and problems. In this work, we use well-known ML methods, including DT (Decision Tree), LR (Logistic Regression), SVM (Support Vector Machines), KNN (K Nearest Neighbor), and multi-model (Gradient, gaussian nave bias, XGB, SGD), classification methods. Make an intelligent diagnostic assistant to correctly identify a certain kind of allergy condition. INTRODUCTION:Skin diseases have increasingly captivated emergency care, progressing from preliminary clinical studies to a substantial scientific consensus 1 . Whereas the exact global incidence is unknown, it affects 1% to 2% of the population. Most people are currently suffering from various skin allergies after recovering from COVID-19. Recent researchers, with the help of dermatologists, have stated an association between skin problems and COVID-19. It's hard to tell what's going on with the skin without the help of a skin specialist and it's also hard to figure out how to treat this kind of disease.

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Section: Stochastic Gradient Boostingmentioning

confidence: 99%

Untitled

2023

IJPSR

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“…As advancements in computational theory progress, the emergence of COVID-19 as a global pandemic has profoundly disrupted normal life worldwide [ [35] , [36] , [37] , [38] ]. The escalating numbers of active and fatal cases have significantly impacted the psychological well-being of individuals.…”

Section: Introductionmentioning

confidence: 99%