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Innovations in stroke identification: A machine learning-based diagnostic model using neuroimages
Cerebrovascular diseases such as stroke are among the most common causes of death and
disability worldwide and are preventable and treatable. Early detection of strokes and their …
disability worldwide and are preventable and treatable. Early detection of strokes and their …
Enhancing anomaly detection: a comprehensive approach with MTBO feature selection and TVETBOOptimized Quad-LSTM classification
The rapid growth of computer networks has heightened system vulnerabilities, challenging
traditional Machine Learning (ML) techniques in network anomaly detection due to the …
traditional Machine Learning (ML) techniques in network anomaly detection due to the …
An intelligent learning system based on electronic health records for unbiased stroke prediction
Stroke has a negative impact on people's lives and is one of the leading causes of death
and disability worldwide. Early detection of symptoms can significantly help predict stroke …
and disability worldwide. Early detection of symptoms can significantly help predict stroke …
Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia
Introduction: Dementia is a condition (a collection of related signs and symptoms) that
causes a continuing deterioration in cognitive function, and millions of people are impacted …
causes a continuing deterioration in cognitive function, and millions of people are impacted …
Optimizing Depression Prediction in Older Adults: A Comparative Study of Feature Extraction and Machine Learning Models
Depression emerged as a major public health concern in older adults, and timely prediction
of depression has become a difficult problem in medical informatics. The latest studies have …
of depression has become a difficult problem in medical informatics. The latest studies have …
A study on improving sleep apnea diagnoses using machine learning based on the stop-bang questionnaire
MS Choi, DH Han, JW Choi, MS Kang - Applied Sciences, 2024 - mdpi.com
Sleep apnea has emerged as a significant health issue in modern society, with self-
diagnosis and effective management becoming increasingly important. Among the most …
diagnosis and effective management becoming increasingly important. Among the most …
Disease Prediction Using Electronic Health Records with Long Short-Term Memory Networks
E Vandermeer, K Mahadevan - Journal of Computer Technology and …, 2025 - ashpress.org
With the widespread application of electronic health records (EHR), data-driven disease
prediction has become an important research direction in the medical field. This study …
prediction has become an important research direction in the medical field. This study …