AIMC Topic: Restless Legs Syndrome

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Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Scientific reports May 10, 2025
Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturbances and reduced quality of life, but accurate diagnosis remains challenging owing to the reliance o...
Humans Machine Learning Phenotype Female Aged Adult Male Middle Aged Wearable Electronic Devices Smartphone Circadian Rhythm Restless Legs Syndrome
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Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

Pakistan journal of pharmaceutical sciences Sep 1, 2020
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 ...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Decision Support Techniques Female Risk Factors Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male Middle Aged Risk Assessment Prevalence Adolescent Incidence Diabetes Mellitus, Type 2 Predictive Value of Tests Pakistan Restless Legs Syndrome
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[A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating scale and polysomnography.In this paper,a domestic diagnosis system for early restless legs syndrome based on deep learning is proposed,which is suitabl...
Humans Deep Learning Sleep Restless Legs Syndrome Movement Polysomnography
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