Suchergebnisse - "Dementia classification"
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Autoren:
Quelle: Tehnički Vjesnik, Vol 31, Iss 6, Pp 2036-2044 (2024)
Tehnički vjesnik
Volume 31
Issue 6Schlagwörter: voice data, feature selection, deep learning, transfer learning, TA1-2040, dementia classification, mel-spectrogram, Engineering (General). Civil engineering (General), Grad-CAM, attention-based visualization
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Computational Intelligence in Pattern Recognition Lecture Notes in Networks and Systems. :203-213
Schlagwörter: Alzheimer’s disease, a neurodegenerative condition severely impacting cognition and memory, stands as a predominant contributor to dementia. This chapter addresses the urgent need for effective identification and categorization of Alzheimer’s Disease (AD) dementia, crucial for timely intervention and improved patient outcomes. This chapter introduces a novel Squeeze and Excitation ResNet-152 (or SE-ResNet-152) model based on Convolutional Neural Network (CNN), for the classification of Alzheimer’s disease dementia into four distinct categories namely Very Mild Dementia (VMD), Mild Dementia (MD), Moderate Dementia (MoD), and Non-demented (ND), utilizing Magnetic Resonance Imaging (MRI) images. The incorporation of the Squeeze and Excitation (SE) block plays a pivotal role by recalibrating channel-wise feature responses, thereby boosting the model’s capacity to capture informative features from input data. The SE-ResNet-152 model exhibits an impressive overall accuracy of 99.00%, emphasizing its potential as a powerful tool for accurate Alzheimer’s disease dementia classification and the subsequent facilitation of timely interventions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Dateibeschreibung: print
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Autoren: et al.
Quelle: Alzheimers Dement (Amst)
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 15, Iss 3, Pp n/a-n/a (2023)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y TécnicasSchlagwörter: BVFTD, WHOLE-BRAIN FUNCTIONAL CONNECTIVITY, RC952-954.6, automatic harmonization, AD, 3. Good health, MULTI-CENTRIC STUDIES, bvFTD, Geriatrics, Neuroscience. Biological psychiatry. Neuropsychiatry, inverse solution methods, EEG, Neurology. Diseases of the nervous system, AUTOMATIC HARMONIZATION, INVERSE SOLUTION METHODS, dementia classification, RC346-429, DEMENTIA CLASSIFICATION, Research Articles
Dateibeschreibung: application/pdf; text
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Autoren:
Quelle: Applied Sciences, Vol 14, Iss 21, p 9928 (2024)
Schlagwörter: vision transformer, clock drawing test, attention mechanism, dementia classification, image processing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Dateibeschreibung: electronic resource
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Autoren:
Quelle: Alzheimer's Research UK Conference 2023, Aberdeen, United Kingdom [GB], 03/2023
Schlagwörter: dementia classification, machine learning, dementia prevalence, underdiagnosis, Europe, Human health sciences, Public health, health care sciences & services, Sciences de la santé humaine, Santé publique, services médicaux & soins de santé
Relation: info:eu-repo/grantAgreement/EC/H2020/803239; https://orbilu.uni.lu/handle/10993/58567; info:hdl:10993/58567; https://orbilu.uni.lu/bitstream/10993/58567/1/2023%20ARUK.pdf
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: urn:tid:203156005
Schlagwörter: Machine Learning, Dementia classification, Magnetic resonance imaging, Radiomics, Brain morphological features, Neurodegenerative diseases, ADNI, Classificação de demências, Imagens ressonância magnética, Features morfológicas cerebrais, Doenças neurodegenerativas
Dateibeschreibung: application/pdf
Verfügbarkeit: https://hdl.handle.net/1822/82793
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Autoren:
Quelle: Interspeech 2020. :2192-2196
Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Computer Science - Computation and Language, Machine Learning (stat.ML), 02 engineering and technology, Adress shared task, Computer Science - Sound, Machine Learning (cs.LG), 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Statistics - Machine Learning, Audio and Speech Processing (eess.AS), Alzheimers dementia classification, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Spontaneous speech classification, Computation and Language (cs.CL), Electrical Engineering and Systems Science - Audio and Speech Processing
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Autoren: Shaw, Crystal Ruth Michelle
Schlagwörter: Biostatistics, Epidemiology, Aging Demographics and Memory Study, Algorithmic dementia classification, Bayesian methods, Harmonized Cognitive Assessment Protocol, Health and Retirement Study, Latent class mixture models
Dateibeschreibung: application/pdf
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Autoren:
Quelle: Kristensen, F, Thuesen, J & Håkonsen, S J 2018, 'Systematic assessment of the rehabilitation needs in early stage dementia for home-dwelling people : a scoping review protocol', JBI Database of Systematic Reviews & Implementation Reports, vol. 16, no. 10, pp. 1947-1958. https://doi.org/10.11124/JBISRIR-2017-003469
Kristensen, F, Thuesen, J & Håkonsen, S J 2018, ' Systematic assessment of the rehabilitation needs in early stage dementia for home-dwelling people : a scoping review protocol ', JBI Database of Systematic Reviews & Implementation Reports, vol. 16, no. 10, pp. 1947–1958 . https://doi.org/10.11124/JBISRIR-2017-003469Schlagwörter: Neurological Rehabilitation/methods, Independent Living/psychology, Rehabilitation, Neurological Rehabilitation, Assessment, Delivery of Health Care/methods, Home-dwelling, 3. Good health, Review Literature as Topic, 03 medical and health sciences, 0302 clinical medicine, Dementia/classification, Humans, Dementia, Community Health Services/methods, Community Health Services, Independent Living, Needs, Delivery of Health Care, Needs Assessment
Zugangs-URL: https://www.cancer.dk/dyn/resources/File/file/5/4675/1428488601/rapport-om-rehabilitering.-endelig-16.2-2015-national-arbejdsgruppe.pdf
https://pubmed.ncbi.nlm.nih.gov/29912719
https://vbn.aau.dk/da/publications/dd582e04-5155-4cb3-96d8-15dd18efe885
https://doi.org/10.11124/JBISRIR-2017-003469
https://pubmed.ncbi.nlm.nih.gov/29912719/
https://www.ncbi.nlm.nih.gov/pubmed/29912719
https://europepmc.org/abstract/MED/29912719
https://portal.findresearcher.sdu.dk/da/publications/systematic-assessment-of-the-rehabilitation-needs-in-early-stage-
https://portal.findresearcher.sdu.dk/da/publications/05e84ba9-ee45-4673-a0c0-7c4bbe01d7f0
https://doi.org/10.11124/JBISRIR-2017-003469
https://portal.findresearcher.sdu.dk/da/publications/05e84ba9-ee45-4673-a0c0-7c4bbe01d7f0 -
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Autoren:
Quelle: Månedsskrift for Almen Praksis. 97(4):243
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Autoren: et al.
Quelle: Medicinski vjesnik ; ISSN 0350-6487 (Print) ; ISSN-L 0350-6487 ; CODEN MEVJEQ ; Volume 50 ; Issue (Suppl. 1)
Schlagwörter: Demencija – klasifikacija, dijagnoza, povijest, psihologija, rehabilitacija, Kongresi, Dementia – classification, diagnosis, history, psychology, rehabilitation, Congresses
Dateibeschreibung: application/pdf
Relation: https://hrcak.srce.hr/200710
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Journal of Alzheimer's Disease. 45:599-608
Schlagwörter: Male, Cognition Disorders/etiology, Neuropsychological Tests, neuropsychology, Age at symptom onset, Behavioral Symptoms, frontotemporal dementia, Behavioral Symptoms/etiology, 03 medical and health sciences, 0302 clinical medicine, Cognition Disorders/diagnosis, Humans, Age of Onset, Aged, Retrospective Studies, Psychiatric Status Rating Scales, behavior, Middle Aged, 3. Good health, Frontotemporal Dementia, Frontotemporal Dementia/classification, Female, Cognition Disorders, Frontotemporal Dementia/complications
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Journal of Stroke and Cerebrovascular Diseases. 23:636-642
Schlagwörter: Male, visual rating, Cerebral Ventricles/pathology, Dementia/pathology, Brain Ischemia/pathology, ischemia, Neuropsychological Tests, Brain Ischemia, Cerebral Ventricles, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Dementia/classification, 80 and over, White matter hyperintensities, Humans, Aged, Aged, 80 and over, Brain/pathology, Middle Cerebral Artery/pathology, Brain, Reproducibility of Results, Infarction, Middle Cerebral Artery, Magnetic Resonance Imaging, 6. Clean water, cerebrovascular disease, 3. Good health, classification, Infarction, Dementia, Female, Middle Cerebral Artery/classification, Brain Ischemia/classification
Dateibeschreibung: 636~642
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/23867045
https://pubmed.ncbi.nlm.nih.gov/23867045/
https://core.ac.uk/display/159798308
https://www.psych.ox.ac.uk/publications/537284
https://ir.ymlib.yonsei.ac.kr/handle/22282913/138774;
https://dspace.ewha.ac.kr/handle/2015.oak/227666
https://pure.ewha.ac.kr/en/publications/a-new-classification -system-for-ischemia-using-a-combination-of-d -
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Autoren: et al.
Quelle: Harris, J M, Gall, C, Thompson, J C, Richardson, A M T, Neary, D, du Plessis, D, Pal, P, Mann, D M A, Snowden, J S & Jones, M 2013, 'Sensitivity and specificity of FTDC criteria for behavioral variant frontotemporal dementia.', Neurology, vol. 80, no. 20, pp. 1881-1887. https://doi.org/10.1212/WNL.0b013e318292a342 WNL.0b013e318292a342 [pii], https://doi.org/10.1212/WNL.0b013e318292a342
Schlagwörter: Male, Frontotemporal Dementia/classification/*diagnosis/*epidemiology, Mental Disorders, Mental Disorders/classification/*diagnosis/*epidemiology, Pilot Projects, Middle Aged, Sensitivity and Specificity, 3. Good health, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Frontotemporal Dementia, Humans, Female, Aged
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/23596080
https://pubmed.ncbi.nlm.nih.gov/23596080/
https://www.research.manchester.ac.uk/portal/en/publications/sensitivity-and-specificity-of-ftdc-criteria-for-behavioral-variant-frontotemporal-dementia (5ae0fc64-c801-49f5-a75a-b29f1989fa95).html
https://n.neurology.org/content/80/20/1881
http://www.ncbi.nlm.nih.gov/pubmed/23596080
https://www.neurology.org/cgi/doi/10.1212/WNL.0b013e318292a342
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:253539
https://research.manchester.ac.uk/en/publications/5ae0fc64-c801-49f5-a75a-b29f1989fa95
http://www.ncbi.nlm.nih.gov/pubmed/23596080 -
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Autoren: et al.
Quelle: Dement Neuropsychol
Dementia & Neuropsychologia, Vol 7, Iss 1, Pp 83-87
Dementia & Neuropsychologia v.7 n.1 2013
Dementia & Neuropsychologia
Associação de Neurologia Cognitiva e do Comportamento (ANCC)
instacron:ANCC
Dementia & Neuropsychologia, Volume: 7, Issue: 1, Pages: 83-87, Published: MAR 2013Schlagwörter: neuropsiquiatria, Neurosciences. Biological psychiatry. Neuropsychiatry, frontotemporal dementia, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, demência frontotemporal, hippocampal sclerosis, esclerose hipocampal, neuropsychiatry, Original Article, classificação demência, dementia classification, RC321-571
Dateibeschreibung: text/html
Zugangs-URL: http://www.scielo.br/pdf/dn/v7n1/1980-5764-dn-7-01-00083.pdf
https://pubmed.ncbi.nlm.nih.gov/24363834
https://doaj.org/article/4e5c39a72ca44c63a8b465ed61ccff08
http://europepmc.org/articles/PMC3867983
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642013000100083&lng=en&tlng=en
https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642013000100083
https://jhu.pure.elsevier.com/en/publications/hippocampal-sclerosis-dementia -an-amnesic-variant-of-frontotempor
https://www.ncbi.nlm.nih.gov/pubmed/24363834
http://www.scielo.br/pdf/dn/v7n1/1980-5764-dn-7-01-00083.pdf
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642013000100083
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642013000100083&lng=en&tlng=en -
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Autoren:
Quelle: Geriatric Nursing. 28(3):193-200
Schlagwörter: Aged, Attitude of Health Personnel, Causality, Dementia/classification/*nursing, Disease Progression, Geriatric Assessment, Group Homes/utilization, Health Services Research, Hospital Units/utilization, Humans, Long-Term Care/*organization & administration, Needs Assessment, Nursing Homes/utilization, Patient Selection, Patient Transfer/*organization & administration, Progressive Patient Care/*organization & administration, Retrospective Studies, Severity of Illness Index, Sweden, INTERDISCIPLINARY RESEARCH AREAS, Caring sciences, Nursing, TVÄRVETENSKAPLIGA FORSKNINGSOMRÅDEN, Vårdvetenskap, Omvårdnad
Dateibeschreibung: print
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Autoren: et al.
Quelle: Annals in Gerontology; Vol. 9 No. 9 (2017): Anales en Gerontología; 19-42
Anales en Gerontología; Vol. 9 Núm. 9 (2017): Anales en Gerontología; 19-42
Portal de Revistas UCR
Universidad de Costa Rica
instacron:UCRSchlagwörter: dementia classification scale (CDR), datos normativos, persona adulta mayor costarricense, senior Costa Rican adult, normative data, CDR, MMSE
Dateibeschreibung: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document
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Autoren:
Quelle: Sygeplejersken Fag&Forskning. 116(4):20
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Autoren: et al.
Quelle: Journals of Gerontology. A, Biological Sciences and Medical Sciences, Vol. 60, No 4 (2005) pp. 524-529
Schlagwörter: Male, Self-Assessment, Pain Measurement/*methods, Pain, Hospitalization, Back Pain/physiopathology, 618.97, 03 medical and health sciences, 0302 clinical medicine, Osteoarthritis, Humans, Comparative Study, Prospective Studies, ddc:613, Aged, Pain Measurement, Aged, 80 and over, Research Support, Non-U.S. Gov't, Reproducibility of Results, Pain/classification/nursing, 3. Good health, Self Assessment (Psychology), Osteoarthritis/physiopathology, Back Pain, ddc:618.97, Feasibility Studies, Osteoporosis, Dementia, Female, Dementia/classification/*psychology, Osteoporosis/physiopathology, Comprehension
Dateibeschreibung: application/pdf
Zugangs-URL: https://academic.oup.com/biomedgerontology/article-pdf/60/4/524/1429006/524.pdf
https://pubmed.ncbi.nlm.nih.gov/15933396
https://doc.rero.ch/record/303632/files/524.pdf
http://biomedgerontology.oxfordjournals.org/content/60/4/524.full.pdf
https://www.ncbi.nlm.nih.gov/pubmed/15933396
http://biomedgerontology.oxfordjournals.org/content/60/4/524.full.pdf+html
https://core.ac.uk/display/60858825
https://academic.oup.com/biomedgerontology/article-abstract/60/4/524/535222
https://archive-ouverte.unige.ch/unige:28173
https://doi.org/10.1093/gerona/60.4.524
https://archive-ouverte.unige.ch/unige:28173
http://doc.rero.ch/record/303632/files/524.pdf
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