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Comparison of DBFS with MoCA and MMSE tools for MCI screening
Mild cognitive impairment (MCI) has been associated with many diseases. The MCI could be a marker for the early diagnosis of certain diseases. Early detection of MCI could be beneficial for restoration of cognitive reserves. One hundred and five subjects were included in the study, underwent the Dig...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599673/ https://www.ncbi.nlm.nih.gov/pubmed/37886151 http://dx.doi.org/10.6026/97320630019522 |
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author | Chad Chew, Eun Yip Prem, Pillay Jasmine, Kuah Nav, Vij Arthi, Balasundaram |
author_facet | Chad Chew, Eun Yip Prem, Pillay Jasmine, Kuah Nav, Vij Arthi, Balasundaram |
author_sort | Chad Chew, Eun Yip |
collection | PubMed |
description | Mild cognitive impairment (MCI) has been associated with many diseases. The MCI could be a marker for the early diagnosis of certain diseases. Early detection of MCI could be beneficial for restoration of cognitive reserves. One hundred and five subjects were included in the study, underwent the Digital Brain Function Screen (DBFS) test as well as the Montreal Cognitive Assessment (MoCA) test and 73 subjects took the Mini-Mental State Examination (MMSE) test. DBFS test and retest was taken by 16 subjects. The test scores of DBFS tool showed significant positive correlation with MoCA and MMSE test scores. In conclusion, the DBFS tool could be an effective digital tool which can overcome the disadvantages of traditional tools of screening MCI like MoCA and MMSE. |
format | Online Article Text |
id | pubmed-10599673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-105996732023-10-26 Comparison of DBFS with MoCA and MMSE tools for MCI screening Chad Chew, Eun Yip Prem, Pillay Jasmine, Kuah Nav, Vij Arthi, Balasundaram Bioinformation Research Article Mild cognitive impairment (MCI) has been associated with many diseases. The MCI could be a marker for the early diagnosis of certain diseases. Early detection of MCI could be beneficial for restoration of cognitive reserves. One hundred and five subjects were included in the study, underwent the Digital Brain Function Screen (DBFS) test as well as the Montreal Cognitive Assessment (MoCA) test and 73 subjects took the Mini-Mental State Examination (MMSE) test. DBFS test and retest was taken by 16 subjects. The test scores of DBFS tool showed significant positive correlation with MoCA and MMSE test scores. In conclusion, the DBFS tool could be an effective digital tool which can overcome the disadvantages of traditional tools of screening MCI like MoCA and MMSE. Biomedical Informatics 2023-05-31 /pmc/articles/PMC10599673/ /pubmed/37886151 http://dx.doi.org/10.6026/97320630019522 Text en © 2023 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Article Chad Chew, Eun Yip Prem, Pillay Jasmine, Kuah Nav, Vij Arthi, Balasundaram Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title | Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title_full | Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title_fullStr | Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title_full_unstemmed | Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title_short | Comparison of DBFS with MoCA and MMSE tools for MCI screening |
title_sort | comparison of dbfs with moca and mmse tools for mci screening |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10599673/ https://www.ncbi.nlm.nih.gov/pubmed/37886151 http://dx.doi.org/10.6026/97320630019522 |
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