AIMC Topic: Fatigue Syndrome, Chronic
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Machine learning and multi-omics in precision medicine for ME/CFS.
Journal of translational medicine
Jan 14, 2025
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex and multifaceted disorder that defies simplistic characterisation. Traditional approaches to diagnosing and treating ME/CFS have often fallen short due to the condition's hetero...
Psychometric evaluation of the DePaul Symptom Questionnaire-Short Form (DSQ-SF) among adults with Long COVID, ME/CFS, and healthy controls: A machine learning approach.
Journal of health psychology
Jan 28, 2024
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), including post-exertional malaise, severe fatigue, and neurocognitive deficits. Utilizing validated assessment tools that accurately and...
Exploring the joint potential of inflammation, immunity, and receptor-based biomarkers for evaluating ME/CFS progression.
Frontiers in immunology
Dec 20, 2023
BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic condition with no identified diagnostic biomarkers to date. Its prevalence is as high as 0.89% according to metastudies, with a quarter of patients bed-...
A synthetic data generation system for myalgic encephalomyelitis/chronic fatigue syndrome questionnaires.
Scientific reports
Aug 31, 2023
Artificial intelligence or machine-learning-based models have proven useful for better understanding various diseases in all areas of health science. Myalgic Encephalomyelitis or chronic fatigue syndrome (ME/CFS) lacks objective diagnostic tests. Som...
Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome.
Journal of affective disorders
Mar 8, 2019
BACKGROUND: Both of the modern medicine and the traditional Chinese medicine classify depressive disorder (DD) and chronic fatigue syndrome (CFS) to one type of disease. Unveiling the association between depressive and the fatigue diseases provides a...
Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.
Experimental brain research
May 30, 2018
Chronic fatigue syndrome (CFS) is a disorder associated with fatigue, pain, and structural/functional abnormalities seen during magnetic resonance brain imaging (MRI). Therefore, we evaluated the performance of structural MRI (sMRI) abnormalities in ...
A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms.
Bio Systems
Dec 24, 2017
The classification and etiology of functional disorders is controversial. Evidence supports both psychological and biological (disease) models that show, respectively, that functional disorders should be classified as one (bodily distress syndrome) a...
Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories.
Studies in health technology and informatics
Jun 16, 2020
Chronic fatigue syndrome (CFS) is a long-term illness with a wide range of symptoms and condition trajectories. To improve the understanding of these, automated analysis of large amounts of patient data holds promise. Routinely documented assessments...
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