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16 ta ish

Ish: Evaluating Machine Learning Algorithms for Breast Cancer Detection: Logistic Regression, Naive Bayes, and Decision Tree Models

  1. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020

    Wei Cao, Hongda Chen, Yiwen Yu +2

    Maqola20216 iqtibos
    ABI

  2. Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

    Jian Zhou, Panagiotis G. Asteris, Danial Jahed Armaghani +1

    Maqola20202 iqtibos
    ABI

  3. Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier

    Ziba Khandezamin, Marjan Naderan, Mohammad Javad Rashti

    Maqola20202 iqtibos
    ABI

  4. Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

    Aditya Khamparia, Subrato Bharati, Prajoy Podder +4

    Maqola20212 iqtibos
    ABI

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