Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...
Abstract: The purpose of this work is to investigate the effectiveness of DensNet and Logistic Regression in terms of accurately predicting the classification of footwear trends.In this study, there ...
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.
1 Department of Statistics, Faculty of Science and Agriculture Technology, Universitas Muhammadiyah Semarang, Semarang, Indonesia 2 Department of Data Sciences, Faculty of Science and Agriculture ...
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