45 Years of the mini-mental state examination (MMSE): A perspective from ibero-america

Gallegos, Miguel; Morgan, Melissa L.; Cervigni, Mauricio; Martino, Pablo; Murray, Jessie; Calandra, Manuel; Razumovskiy, Anastasia; Caycho‐Rodríguez, Tomás; Gallegos, Walter Lizandro Arias

doi:10.1590/1980-5764-dn-2021-0097

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…The original MoCA is the most sensitive and validated cognitive screening tool, supported by over 500 peer-reviewed studies 20 . The sensitivity of MoCA for detecting MCI is 90%, compared to 18% for the MMSE 8 .…”

Section: Facememory By Ace Alzheimer Center Barcelonamentioning

confidence: 95%

“…The Mini-Mental State Examination (MMSE) was created by Marshal Folstein et al, in 1975 as an instrument for brief (5-10 minutes) assessment of mental status in hospitalized patients 8 . It is a short and simple test that can be done at home.…”

Section: Mini-mental State Exam (Mmse) By Dementia Care Centralmentioning

confidence: 99%

“…Subsequently, this test is validated remotely by a mental health specialist. Montreal Cognitive Assessment known as MoCA was validated as a highly sensitive tool for early detection of mild cognitive impairment in 2000 8 . It is widely used as a scale in academic and non-academic research.…”

Section: Facememory By Ace Alzheimer Center Barcelonamentioning

confidence: 99%

“…To detect cognitive impairment early, many non-intrusive methods have been proposed in recent years. For example, the Montreal Cognitive Assessment (MoCA) 6,7 , Mini-mental State Exam (MMSE) 8 , Lawton and Brody 9 , and many others. These tests are carried out at the clinic and contain multiple exercises that the doctor fills based on the patient's response.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of cognitive impairment using artificial intelligence from user-web-mobile interaction

Del Bosque Díaz De León,

Mimenza Alvarado,

Aguilar Navarro

et al. 2023

Optics and Photonics for Information Processing XVII

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The World Health Organization forecasts a population of 2,000 million people over 60 years by the year 2050, with 7% of this population suffering from dementia, a disease of public priority. Making a constant evaluation of older adults allows early detection of the disease and provides a better quality of life in the patient. In this sense, the research and development of innovative technological systems for the management of the growing number of patients with cognitive diseases has increased in recent years, integrating data collection and its automatic processing based on geriatric metrics into these systems using artificial intelligence (AI) methods, such that they can establish disease detection at an early stage and follow-up of it, in order to support the increase in patients expected in the coming years in the clinical area. This research presents an interactive web platform that allows users with internet connection from any mobile device, computer, laptop, or other devices, to remotely perform an automated assessment of the Montreal Cognitive Assessment (MoCA) test. This test detects and assesses cognitive deterioration. We use AI and neural network methods for binary and multiclass classification to obtain assessment scores according to geriatric metrics. Subsequently, this test is validated remotely by a mental health specialist. The tests carried out show a correct correspondence in the handling of the information and the results regarding the reference data for comparison. Our system provides an automated and easyto-use digital evaluation metric.

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Section: Facememory By Ace Alzheimer Center Barcelonamentioning

confidence: 95%

Section: Mini-mental State Exam (Mmse) By Dementia Care Centralmentioning

confidence: 99%

Section: Facememory By Ace Alzheimer Center Barcelonamentioning

confidence: 99%