ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...
Frontiers

The impact of precompetition state on athletic performance among track and field athletes using machine learning

Precompetition absolute basophil, LDH, TG, white blood cells, creatine kinase, fat mass in the left upper limb, erythrocyte pressure (HCT), and individual failure anxiety can be used as training ...
Laweekly

Varun Nakra: Mastering the Delicate Art of Interpretable Machine Learning Models

Artificial intelligence (AI) is a two-edged sword. While AI and machine learning (ML) models are powerful, they can be known to make egregious mistakes. For example, the integration of AI and ...
Scientific Research Publishing

A Machine Learning-Based Web Application for Heart Disease Prediction ()

This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset ...
IEEE

Comparative Results of Spam Email Detection Using Machine Learning Algorithms

Abstract: Among the problems caused by spam email are loss of productivity and increase in network resources consumption. Sometimes spam email contain malware as attachments or include links for ...
Scientific Research Publishing

Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease ()

1 Electronics and Communications Department, Al-Safwa High Institute of Engineering, Qalyubia, Egypt. 2 Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, ...