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Statistical Analysis, Data Visualization, Tableau, Linear Regression, Logistic Regression, Decision Trees, Data Munging, Data Cleaning, Data Transformation,Microsoft ...

Abstract: Lung cancer remains one of the most important issues related to cancer mortality worldwide due to the late diagnosis and the need for invasive biopsy procedures. There has emerged a new and ...

Cleaned and prepared the data Built and evaluated a logistic regression model Tuned prediction threshold to improve recall (default vs custom threshold) Visualized precision and recall trade-offs I ...

Context: Attempting to use the SHAP library for model interpretation after training and selecting the best model (Logistic Regression). Observed Error: ImportError: Numba needs NumPy 2.2 or less. Got ...

Background: Traumatic brain injury (TBI) is one of the most common and complex neurological conditions. Many TBI patients require ongoing rehabilitation beyond acute care, making treatment and ...

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 ...

Background Mechanical thrombectomy (MT) is the primary treatment for acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). However, the likelihood of futile recanalization (FR) at 90 ...

We analyzed a prospective multi-institutional cohort of 278 patients treated from 2012 to 2023 across 10 centers. Dosimetric and nondosimetric variables were collected, and key predictors were ...