The American Journal of Managed Care

Predicting Severe Diabetes Complications Using Administrative Claims Data in Maryland

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Frontiers

The Applications of AI Techniques in Medical Data Processing

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
IEEE

A Comparative Evaluation of Machine Learning Algorithms for Diabetes Prediction

Abstract: Diabetes is a chronic condition that affects how the body processes blood sugar, leading to consistently high blood glucose levels. Predicting diabetes early can go a long way in reducing ...
StudyFinds on MSN

AI map ranks US states by socioeconomic flu vulnerability

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.
IEEE

Comparative Analysis of Imputation Techniques and Machine-Learning Models for Diabetes Prediction Using the Pima Indians Dataset

Abstract: In healthcare analysis, predicting diabetes at an early stage poses significant challenges, especially when we are dealing with incomplete and noisy data. This study explores several ...
The Lancet

Prediction models for high-grade cervical lesions or worse using machine learning

aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...
GitHub

SDN-Based DDoS Detection and Mitigation with Machine Learning

┌─────────────────────────────────┐ │ Application Layer │ │ Random Forest Classifier │ │ 10 flow features · Scaler ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...