Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
GitHub

rskworld/fraud-detection-ml

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Frontiers

NeoTImmuML: a machine learning-based prediction model for human tumor neoantigen immunogenicity

Introduction: Tumor neoantigens possess high specificity and immunogenicity, making them crucial targets for personalized cancer immunotherapies such as mRNA vaccines and T-cell therapies. However, ...
GitHub

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression ...

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Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
IEEE

Identification and Classification of Ocular Surface Squamous Neoplasia Using YOLO and Traditional Feature Extraction and Fusion Methods

Abstract: Ocular Surface Squamous Neoplasia (OSSN) is a potentially life-threatening eye condition that encompasses a range of abnormalities, from dysplasia to invasive carcinoma. Early detection and ...
Frontiers

Invisible footprints, visible insights: machine learning reveals Scope 3 emissions

1 Department of International Business, National Taiwan University, Taipei, Taiwan 2 Department of Accounting, Tamkang University, New Taipei City, Taiwan Introduction: Scope 3 greenhouse gas ...
IEEE

Classification of Heart Disease: Comparative Analysis using KNN, Random Forest, Gaussian Naive Bayes, XGBoost, SVM, Decision Tree, and Logistic Regression

Abstract: The heart is the center of the human body, and when it is not functioning well, the body cannot operate effectively. This research aims to compare some of the classifier models to find the ...
Scientific Research Publishing

Sahin, E.K. (2020) Assessing the Predictive Capability of Ensemble Tree Methods for Landslide Susceptibility Mapping Using XGBoost, Gradient Boosting Machine, and Random Forest ...

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...