Showing 361 - 380 results of 488 for search '"Wisconsin"', query time: 0.06s Refine Results
  1. 361

    A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

    Published 2025-02-01
    “…The work implemented the introduced methodology using Wisconsin-based breast cancer data and applied the Synthetic Minority Oversampling Technique (SMOTE) to the obtained data subset. …”
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    Breast Cancer Prediction: A Fusion of Genetic Algorithm, Chemical Reaction Optimization, and Machine Learning Techniques by Md. Rafiqul Islam, Md. Shahidul Islam, Saikat Majumder

    Published 2024-01-01
    “…Experiments were conducted on three datasets, namely, Wisconsin Breast Cancer (WBC), Breast Cancer-the University of California, Irvine (BC-UCI), and Breast Cancer Coimbra (BCC) datasets. …”
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    An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing by Indu Chhillar, Ajmer Singh

    Published 2025-01-01
    “…To show the efficiency of the proposed ensemble model, it is compared with its base classifiers using the Wisconsin Diagnosis Breast Cancer Dataset (WDBC). The results of the experiment revealed that the soft voting classifier achieved high scores with an accuracy of 99.42%, precision of 100.0%, recall of 98.41%, F1 score of 99.20%, and AUC of 1.0 when it is trained on optimal features obtained from the CBFS method. …”
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    Relationship of Asymmetrical Dimethylarginine, Nitric Oxide, and Sustained Attention during Attack in Patients with Major Depressive Disorder by Serpil Canpolat, İsmet Kırpınar, Erdem Deveci, Hülya Aksoy, Zafer Bayraktutan, İbrahim Eren, Recep Demir, Salih Selek, Nazan Aydın

    Published 2014-01-01
    “…Rey verbal learning and memory test, auditory consonant trigram test, digit span test, Wisconsin card sorting test, continuous performance task (TOVA), and Stroop test scores were found to be impaired in patients with major depressive disorder when compared to healthy controls. …”
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    Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

    Published 2025-02-01
    “…The aim of this study is to evaluate the integration of ensemble models and deep learning models using stacking ensemble techniques on the Breast Cancer Wisconsin (Diagnostic) dataset and to enhance breast cancer diagnosis through this methodology. …”
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  13. 373

    Nitrate Relationships between Stream Baseflow, Well Water, and Land Use in the Tomorrow-Waupaca Watershed by Henry Lin, Rebecca Cook, Byron Shaw

    Published 2001-01-01
    “…We examined the use of stream baseflow water quality as a representative measure of mean ground water quality in the Tomorrow-Waupaca Watershed in central Wisconsin and the relationship between agricultural land use and watershed water quality. …”
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    Efecto de un programa de intervención en atención para pacientes con trauma craneoencefálico moderado by María Teresa Cuervo Cuesta, Adriana Rincón Castillo, María Cristina Quijano Martínez

    Published 2009-01-01
    “…Para la evaluación pre y post de la atención, se aplicó el test de clasificación de tarjetas del Wisconsin [WCST], el Trail Making Test A y B [TMTA-TMTB], Stroop Test [STROOP], y el Test de Cancelación de Letras [Letter CancelationTest]. …”
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