Johan Sanmartin Berglund – Page 5 – Health Technology Research Lab BTH

Abstract: Dementia, a neurodegenerative disease, significantly impairs cognitive abilities and is often not diagnosed until the later stages of disease progression. This delayed diagnosis results in missed early intervention, support opportunities and difficulty implementing appropriate care strategies. To address this problem, researchers have proposed automated diagnostic systems that utilize machine learning methods using electronic health […]

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Empowering Dementia Diagnosis: A Machine Learning-Driven Automated System

Predictive Power of XGBoost_BiLSTM Model: A Machine-LearningApproach for Accurate Sleep Apnea Detection Using Electronic HealthData

Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review

The DiaVoc project: Diagnosing vocal characteristics to track patients’ health

Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning

Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions

Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks

An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning

Implementation of a web-based national child health-care programme in a local context: A complex facilitator role