This paper proposes a two-stage data analytic framework, where Stage I classifies the survival and deceased statuses and Stage II predicts the number of survival months for deceased females with cancer.
Mar 11, 2021 · Objective: This paper proposes a two-stage data analytic framework, where Stage I classifies the survival and deceased statuses and Stage II ...
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A two-stage modeling approach for breast cancer survivability prediction ; Journal: International Journal of Medical Informatics, 2021, p. 104438 ; Publisher: ...
A Novel Two-Stage Stacking Model for Breast Cancer Survival Prediction
ieeexplore.ieee.org › document
Stacking-MLP consists of two stages: firstly, it trains a series of primary perceptron models through feature random undersampling to mitigate the negative ...
Abstract— The prediction of breast cancer survival rates holds important clinical significance for treatment decision-making.
Jul 5, 2022 · To improve the accuracy of cancer survival prediction, in this paper, we propose a priori knowledge- and stability-based feature selection ( ...
Two-Stage Approaches to Accounting for Patient Heterogeneity in ...
ascopubs.org › doi › CCI.21.00077
Sep 30, 2021 · We proposed a two-stage approach to addressing heterogeneity among oncology patients of different cancer types for predicting their risk of mortality.
The predictor module generates the predicted labels for patient samples on whether the patient will be survived or not.
Oct 28, 2024 · Finally, we built a survival prediction model using high-quality data to predict adverse prognosis in young breast cancer patients, and it ...
These methods learn patterns or statistical regularities from historic data in order to make predictions on new data. Specifically for breast cancer, ...