EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...
IEEE

Comparative Analysis of Naïve Bayes, Nearest Neighbor, and Logistic Regression Classifiers for the Prediction of Diabetes

Machine Learning algorithms have been known for their simplicity and easier implementation, and they have been used predominantly for disease prediction, diagnosis, and decision-making systems to ...
IEEE

Logistic Regression and XGBoost Model of Multiple factors on Trust

Abstract: The trust study was begun in the 1960s. Previous research has been particularly focused on understanding the psychological underpinnings of trust formation and sustenance, with influences ...
GitHub

Advanced-ML-for-Logistic-Regression

This Jupyter Notebook (thompson_cell_plan_project.ipynb) implements a machine learning pipeline to predict customer cancellations of cell phone plans. The project involves data loading, exploration, ...
GitHub

machine-learning-security

Inspired by dynamic taint tracking, PoisonSpot uses fine-grained training provenance tracker that: (1) tags & traces the impact of every single training sample on model updates, (2) probabilistically ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...