Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
Background: This study aims to analyze the status of sexual behavior and its influencing factors among first-year undergraduate students in Chinese overseas Chinese schools, providing scientific ...
State of Professional Well-Being, Satisfaction, and Career Plans Among US Oncologists in 2023 Between 2018 and 2023, 43 participants received reduced-intensity HCT from 7/8 or 8/8 human leukocyte ...
A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...
Introduction: Inflammatory response and nutritional status have been linked to adverse reactions of radiotherapy. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, associated with both ...
Synthetic Lethal Co-Mutations in DNA Damage Response Pathways Predict Response to Immunotherapy in Pan-Cancer Transcriptomic biomarkers may serve as stratifying factors that guide the management of ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
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