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Journal of Mathematical Techniques and Computational Mathematics(JMTCM)

ISSN: 2834-7706 | DOI: 10.33140/JMTCM

Impact Factor: 1.3

Data-Driven Evaluation of Neuroleptic Therapy in Dementia: Machine Learning Applications

Abstract

Rocco de Filippis and Abdullah Al Foysal

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.

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