Sensor Based EEG Signal Based Dementia Disease Detection Using Artificial Intelligence

Even though it's still unclear how anticholinergic medications and dementia are related, dementia is one of the biggest global health issues.The current study's goal was to conduct a thorough review and meta-analysis of any potential predictive implications anticholinergic medications may have on dementia risk.Dementia has been linked to both low and high anticholinergic medication loading.Additionally, medications and the risk of dementia from anticholinergics were related.Among the anticholinergic drug groups, antiparkinsonian, urological, and antidepressant medications raised the risk for dementia.However, cardiovascular and gastrointestinal medications may have preventive effects.These results highlight the significance of anticholinergic medications as a potentially modifiable dementia risk factor and outline the most effective course of treatment.In this work, Work implemented AI Based algorithms of random forest and XG boost algorithm for predicting sleep disorder and Dementia with a help of sensor.

Authors

Publication Details

Journal
Journal of New Materials for Electrochemical Systems
Published
2024-12-31
DOI
https://doi.org/10.14447/jnmes.v27i4.a06
Citations
7
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
1.73
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article

Sensor Based EEG Signal Based Dementia Disease Detection Using Artificial Intelligence

A Sivasangari, Surendran Rajendran, Thirunavukkarasu Arun Babu, Tamilvizhi Thanarajan
7 citations
Journal of New Materials for Electrochemical Systems
Brain Tumor Detection and Classification
1.73
article

Sensor Based EEG Signal Based Dementia Disease Detection Using Artificial Intelligence

A Sivasangari, Surendran Rajendran, Thirunavukkarasu Arun Babu, Tamilvizhi Thanarajan
article en
7 citations

Abstract

Even though it's still unclear how anticholinergic medications and dementia are related, dementia is one of the biggest global health issues.The current study's goal was to conduct a thorough review and meta-analysis of any potential predictive implications anticholinergic medications may have on dementia risk.Dementia has been linked to both low and high anticholinergic medication loading.Additionally, medications and the risk of dementia from anticholinergics were related.Among the anticholinergic drug groups, antiparkinsonian, urological, and antidepressant medications raised the risk for dementia.However, cardiovascular and gastrointestinal medications may have preventive effects.These results highlight the significance of anticholinergic medications as a potentially modifiable dementia risk factor and outline the most effective course of treatment.In this work, Work implemented AI Based algorithms of random forest and XG boost algorithm for predicting sleep disorder and Dementia with a help of sensor.

Journal of New Materials for Electrochemical SystemsVol. 27(4)
Openalex Percentile: Top 15%
Brain Tumor Detection and Classification
1.73
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