univer-5th-semester/literature-review
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linear -> logistic regression

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Артём Тищенко
2024-11-04 13:51:46 +03:00
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\textbf{Article} & \textbf{Key results} & \textbf{Best algorithms} & \textbf{Metrics} \\
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A Predictive Model for Initial Platinum-Based Chemotherapy Efficacy in Patients with Postoperative Epithelial Ovarian Cancer Using Tissue-Derived Small Extracellular Vesicles~\cite{platinum} & Found that three immune-related proteins—CCR1, IGHV3-35, and CD72—along with the presence of postoperative residual tumors, are strong predictors of platinum resistance in EOC patients. Proposed a model that can predict the efficacy of initial platinum-based chemotherapy & Least absolute shrinkage and selection operator (LASSO) regression and linear regression (LR) & Area under curve (AUC) of 0.864 \\
A Predictive Model for Initial Platinum-Based Chemotherapy Efficacy in Patients with Postoperative Epithelial Ovarian Cancer Using Tissue-Derived Small Extracellular Vesicles~\cite{platinum} & Found that three immune-related proteins—CCR1, IGHV3-35, and CD72—along with the presence of postoperative residual tumors, are strong predictors of platinum resistance in EOC patients. Proposed a model that can predict the efficacy of initial platinum-based chemotherapy & Least absolute shrinkage and selection operator (LASSO) regression and logistic regression (LR) & Area under curve (AUC) of 0.864 \\
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Identifying genes associated with resistance to KRAS G12C inhibitors via machine learning methods~\cite{kras} & Identified some top-ranked genes, including H2AFZ, CKS1B, TUBA1B, RRM2, and BIRC5, associated with cancer progression and drug resistance. Have built efficient classifiers as the byproduct & Categorical boosting (CATB) for feature selection and support vector machine (SVM) for classification & Accuracy of 93.1\% and F1-score of 0.938 \\
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