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Synthetic intelligence (AI) is positioned to make a serious affect on nearly each business, together with well being care. A brand new research means that machine studying fashions can extra rapidly and affordably establish ladies with extreme subjective cognitive decline throughout the menopause transition, successfully opening the door to higher administration of cognitive well being.
Examine outcomes are printed within the article “Using machine learning models to identify severe subjective cognitive decline and related factors in nurses during the menopause transition: a pilot study” on-line in Menopause.
Subjective cognitive decline refers to an individual’s perceived decline in reminiscence or different cognitive capabilities. Cognitive decline, one of many extra frequent signs associated to the menopause transition, is particularly regarding, as a result of it not solely impacts a lady’s high quality of life however may point out the next danger of extreme neurodegenerative illnesses, equivalent to Alzheimer’s illness.
Earlier proof suggests plenty of danger components for cognitive decline, together with growing older, hypertension, weight problems, and despair, amongst others.
A problem is that the majority present fashions for cognitive well being are centered round dementia, an incurable illness that gives restricted alternatives for scientific intervention. Though subjective cognitive decline doesn’t at all times predict long-term cognitive adjustments or dementia, a predictive mannequin for cognitive decline and associated components may enable for early intervention to guard cognitive well being.
Present testing for cognitive efficiency is essentially based mostly on fashions sometimes incorporating numerous laboratory indicators equivalent to blood glucose, blood lipids, and mind imaging.
The complexity and excessive price of those fashions typically make them impractical to implement in a scientific setting. Compared, questionnaire-based fashions supply an easier and more cost effective different. These fashions depend on plenty of impartial variables, together with sociodemographic, work-related, menstrual-related, lifestyle-related, and psychological health-related components.
Machine studying has proven large potential within the area of cognitive well being lately. By mining patterns and traits from massive datasets, it might assemble correct, dependable fashions and automate the dealing with of complicated variable relationships.
On this newest research involving greater than 1,200 ladies present process the menopause transition, researchers had been in a position to develop and validate a machine studying mannequin for figuring out ladies experiencing extreme subjective cognitive decline, together with related components.
These findings present a novel steering for interventions designed to protect cognitive well being in ladies present process the menopause transition. Further analysis is required to validate these outcomes and establish extra potential influencing components.
“This study highlights how the use of machine learning can be employed to identify women experiencing severe subjective cognitive decline during the menopause transition and potential associated factors. Early identification of high-risk persons may allow for targeted interventions to protect cognitive health,” says Dr. Stephanie Faubion, medical director for The Menopause Society.
“Future studies involving objective measures of cognition and longitudinal follow-up are crucial to better understanding these associations.”
Extra data:
Utilizing machine studying fashions to establish extreme subjective cognitive decline and associated components in nurses throughout the menopause transition: a pilot research, Menopause (2025). DOI: 10.1097/GME.00000000000002500
Supplied by
The North American Menopause Society
Quotation:
AI helps to establish subjective cognitive decline throughout the menopause transition (2025, January 15)
retrieved 15 January 2025
from https://medicalxpress.com/information/2025-01-ai-subjective-cognitive-decline-menopause.html
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