High-Performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data

doi 10.24251/hicss.2020.396

Full Text

Abstract

Available in

Date

Authors

Publisher

Hawaii International Conference on System Sciences

Related search

Machine Learning Algorithms for Accurate Differential Diagnosis of Lymphocytosis Based on Cell Population Data

British Journal of Haematology
Hematology
2018English

A Fuzzy Inference Approach for the Diagnosis of Sleep Disorders

International Journal of Computer Applications
2015English

An Approach to Develop Expert Systems in Medical Diagnosis Using Machine Learning Algorithms (Asthma) and a Performance Study

International Journal on Soft Computing
2011English

A Novel Fast and Accurate Pseudo-Analytical Simulation Approach for MOAO

2014English

Fault Diagnosis Studies of Face Milling Cutter Using Machine Learning Approach

Journal of Low Frequency Noise Vibration and Active Control
BuildingMechanics of MaterialsUltrasonicsMechanical EngineeringCivilAcousticsStructural EngineeringConstructionGeophysics
2016English

Modelling PTSD Diagnosis Using Sleep, Memory, and Adrenergic Metabolites: An Exploratory Machine-Learning Study

Human Psychopharmacology
PsychiatryMental HealthNeurologyPharmacology
2019English

Fast and Accurate Semantic Annotation of Bioassays Exploiting a Hybrid of Machine Learning and User Confirmation

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2014English

DeepSleep: Fast and Accurate Delineation of Sleep Arousals at Millisecond Resolution by Deep Learning

2019English

Machine-Learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma

Scientific Reports
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy