Scalas, Giulia (A.A. 2024/2025) Machine learning techniques for predicting dementia with Lewy bodies and Parkinson’s disease in patients with rem sleep behavior disorder. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 92. [Master's Degree Thesis]

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Abstract/Index

Background and clinical context. The impact of early diagnosis. Objective of this thesis and research questions. State of the art. REM sleep disorder as a prodrome of synucleinopathies: medical literature. Machine learning approaches in predictive medicine. Predictive techniques in clinical practice and previous studies. Methodology. Introduction to the dataset. Statistical analysis of cognitive test scores. Supervised machine learning algorithms. Optimization problem: minimizing the number of neuropsychological tests. Experiment methodology. Results and discussion.

References

Bibliografia: pp. 80-85.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Data science in action
Thesis Supervisor:	Martino, Alessio
Thesis Co-Supervisor:	Catalano, Marta
Academic Year:	2024/2025
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	10 Feb 2026 14:46
Last Modified:	10 Feb 2026 14:46
URI:	https://tesi.luiss.it/id/eprint/44762

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