Predicting Dementia Screening and Staging Scores From Semantic Verbal Fluency Performance
| العنوان: | Predicting Dementia Screening and Staging Scores From Semantic Verbal Fluency Performance |
|---|---|
| المؤلفون: | Johannes Tröger, Nicklas Linz, Philippe Robert, Alexandra König, Maria Wolters, Jan Alexandersson |
| المساهمون: | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Cognition Behaviour Technology (CobTek), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Edinburgh, Université Nice Sophia Antipolis (... - 2019) (UNS) |
| المصدر: | ICDM 2017-IEEE International Conference on Data Mining, Workshop on Data Mining for Aging, Rehabilitation and Independent Assisted Living ICDM 2017-IEEE International Conference on Data Mining, Workshop on Data Mining for Aging, Rehabilitation and Independent Assisted Living, Nov 2017, New Orleans, United States. pp.719-728, ⟨10.1109/ICDMW.2017.100⟩ ICDM Workshops Linz, N, Troeger, J, Alexandersson, J, Koenig, A, Robert, P & Wolters, M 2017, Predicting Dementia Screening and Staging Scores From Semantic Verbal Fluency Performance . in First Workshop on Data Mining for Aging, Rehabilitation and Independent Assisted Living . Institute of Electrical and Electronics Engineers (IEEE), 2017 IEEE International Conference on Data Mining Workshops, New Orleans, Louisiana, United States, 18/11/17 . https://doi.org/10.1109/ICDMW.2017.100Test |
| بيانات النشر: | HAL CCSD, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Mini–Mental State Examination, medicine.diagnostic_test, Clinical Dementia Rating, 05 social sciences, Regression analysis, Cognition, medicine.disease, 050105 experimental psychology, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Cognitive test, 03 medical and health sciences, 0302 clinical medicine, mental disorders, medicine, Verbal fluency test, Dementia, 0501 psychology and cognitive sciences, Set (psychology), Psychology, 030217 neurology & neurosurgery, Clinical psychology |
| الوصف: | International audience; The standard dementia screening tool Mini Mental State Examination (MMSE) and the standard dementia staging tool Clinical Dementia Rating Scale (CDR) are prominent methods for answering questions whether a person might have dementia and about the dementia severity respectively. These methods are time consuming and require well-educated personnel to administer. Conversely, cognitive tests, such as the Semantic Verbal Fluency (SVF), demand little time. With this as a starting point, we investigate the relation between SVF results and MMSE/CDR-SOB scores. We use regression models to predict scores based on persons' SVF performance. Over a set of 179 patients with different degree of dementia, we achieve a mean absolute error of of 2.2 for MMSE (range 0–30) and 1.7 for CDR-SOB (range 0–18). True and predicted scores agree with a Cohen's κ of 0.76 for MMSE and 0.52 for CDR-SOB. We conclude that our approach has potential to serve as a cheap dementia screening, possibly even in non-clinical settings. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea4a62da9cbde6bab99072d432da428cTest https://inria.hal.science/hal-01672590Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ea4a62da9cbde6bab99072d432da428c |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |