Publications by authors named "Rosanna Turrisi"
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices.
Front Comput Neurosci
September 2024
Introduction: Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical practice, adherence to best practices in , and is crucial. In this work, we summarize and strictly adhere to such practices to ensure reproducible and reliable ML.
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- - Epilepsy surgery can benefit individuals with focal onset drug-resistant seizures, but accurate diagnosis of the epileptogenic zone (EZ) is crucial for effectiveness, often relying on experienced interpretation of seizure symptoms.
- - This study aims to improve EZ localization by automatically analyzing seizure descriptions in video-EEG reports, utilizing Natural Language Processing (NLP) and Machine Learning (ML) techniques on a dataset of 536 seizure descriptions from 122 patients.
- - The proposed method achieved over 70% accuracy in classifying the EZ's location within the brain, suggesting that improved recognition of the EZ through this approach could lead to better patient outcomes and quicker access to surgery.
An overview of data integration in neuroscience with focus on Alzheimer's Disease.
IEEE J Biomed Health Inform
April 2023
This work represents the first attempt to provide an overview of how to face data integration as the result of a dialogue between neuroscientists and computer scientists. Indeed, data integration is fundamental for studying complex multifactorial diseases, such as the neurodegenerative diseases. This work aims at warning the readers of common pitfalls and critical issues in both medical and data science fields.
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