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
- A Sivasangari
- Surendran Rajendran (ORCID: https://orcid.org/0000-0002-6945-8461)
- Thirunavukkarasu Arun Babu (ORCID: https://orcid.org/0000-0003-1123-5270)
- Tamilvizhi Thanarajan (ORCID: https://orcid.org/0000-0002-5427-7000)
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