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Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA)
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Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Va...
Published 2024-11-01“…ObjectiveThis study explored a novel application integrating psychometric methods with data science techniques to model subtle inconsistencies in questionnaire response data for early identification of cognitive impairment in community environments. …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors
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Phase 2 study of Wee1 inhibitor adavosertib in recurrent uterine carcinosarcoma
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Applications of Multi-reduction and Multi-soliton Analysis of (2+1) Zakharov-Kuznetsov (ZK) Equation
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Exposing factors influencing Korean leisure life satisfaction through machine learning techniques
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A Comprehensive Behavioral Dataset for the Abstraction and Reasoning Corpus
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Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm
Published 2025-05-01“…A major challenge in machine learning and data science is feature selection. Feature selection involves selecting the optimal (or suboptimal) subset of features to derive useful conclusions from a dataset based on the relevant information contained in those features. …”
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Ten simple rules for working with high resolution remote sensing data
Published 2023-01-01“…Correct, appropriate and competent use of such data requires skills from remote sensing and the data sciences that are rarely taught together. In practice, many researchers teach themselves how to use high-resolution remote sensing data with ad hoc trial and error processes, often resulting in wasted effort and resources. …”
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Eight‐Year Outcomes of Cardiosphere‐Derived Cells in Single Ventricle Congenital Heart Disease
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