Oncology Nurse Advisor

AI Model Identified Predictors for Moderate-to-Severe CRF in Patients With CRC

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Frontiers

Comparative Analysis of Optimized Logistic Regression with State-of-the-Art Models for Complex Gastroenterological Image Analysis

1 George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureş, Târgu Mures, Romania 2 Universitatea Babes-Bolyai, Cluj-Napoca, Romania The final, formatted version of ...
IEEE

Optimized Diabetes Prediction using Logistic Regression with SGD and MBGD

Abstract: Optimization algorithms are essential for machine learning models to enhance prediction accuracy. There is a surge in the number of people suffering from diabetes in this present day, it is ...
Frontiers

Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility

Department of Ultrasonic Medicine, Fetal Medical Centre, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Background: Lymph node metastasis serves as a crucial ...
TMCnet

Hesperos and Bayer Consumer Health Develop First Human-on-a-Chip® Model of Stress-Induced Cognitive Dysfunction

Hesperos, Inc. (Hesperos), a global leader focused on improving preclinical drug development, food, cosmetic, and chemical testing with its Human-on-a-Chip ® (HoaC) single- and multi-organ systems ...