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The power of data mining in diagnosis of childhood pneumonia.Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering.Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity.Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing.Clinical Insight Into Latent Variables of Psychiatric Questionnaires for Mood Symptom Self-Assessment.Detecting Bipolar Depression From Geographic Location Data.Insomnia, Nightmares, and Chronotype as Markers of Risk for Severe Mental Illness: Results from a Student PopulationDaily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorderAccurate telemonitoring of Parkinson's disease progression by noninvasive speech tests.Increased expression of phosphorylated NBS1, a key molecule of the DNA damage response machinery, is an adverse prognostic factor in patients with de novo myelodysplastic syndromes.Statistical analysis and mapping of the Unified Parkinson's Disease Rating Scale to Hoehn and Yahr staging.Euclidean Distances as measures of speaker similarity including identical twin pairs: A forensic investigation using source and filter voice characteristics.Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder.Objective Automatic Assessment of Rehabilitative Speech Treatment in Parkinson's Disease.Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease.The Windkessel model revisited: a qualitative analysis of the circulatory system.Current Impact, Future Prospects and Implications of Mobile Healthcare in India.Desynchronization of diurnal rhythms in bipolar disorder and borderline personality disorder.Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning toolsA multi-sensor monitoring system for objective mental health management in resource constrained environmentsInvestigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson’s DiseasePhonation Biomechanics in Quantifying Parkinson’s Disease Symptom SeverityA Methodology for the Analysis of Medical DataB-lymphocyte, Macrophage and Mast Cell Density in the Stroma Underlying HPV-Related Cervical Squamous Epithelial Lesions and their Relationship to Disease Severity: an Immunohistochemical StudyEnhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progressionApplications of Machine Learning in Real-Life Digital Health Interventions: Review of the LiteratureQuantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voiceAssessing an Application of Spontaneous Stressed Speech - Emotions PortalObjective Characterization of Activity, Sleep, and Circadian Rhythm Patterns Using a Wrist-Worn Actigraphy Sensor: Insights Into Posttraumatic Stress DisorderChallenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping
P50
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P50
description
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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Athanasios Tsanas
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P106
P21
P31
P496
0000-0002-0994-8100