Data-Driven Evaluation of Neuroleptic Therapy in Dementia: Machine Learning Applications
Background Neuroleptics are often utilized in the management of behavioural symptoms in dementia. Despite their efficacy, they pose a risk for side effects which can complicate treatment outcomes. Objective: To present clinical outcomes of two patients with dementia who were treated with neuroleptics, focusing on behavioural symptom reduction and management of side effects. Methods Two patients with dementia were treated with neuroleptics and monitored for behavioural symptom reduction and side effects. Clinical assessments included Mini-Mental State Examination (MMSE), Neuropsychiatric Inventory (NPI), and Global Assessment of Functioning (GAF) before and after treatment. Results Both patients demonstrated significant improvements in behavioural symptoms. Adjustments in neuroleptic dosage were required to manage side effects. Conclusion Neuroleptics can effectively reduce behavioural symptoms in dementia, but careful monitoring and dosage adjustments are necessary to manage side effects.
Authors
- Rocco de Filippis (ORCID: https://orcid.org/0000-0001-9101-072X)
- Abdullah Al Foysal (ORCID: https://orcid.org/0000-0002-5102-4999)
Publication Details
- Journal
- Journal of Mathematical Techniques and Computational Mathematics
- Published
- 2024-08-23
- DOI
- https://doi.org/10.33140/jmtcm.03.08.007
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00