Publications by authors named "V CREPALDI"
Medical Information Extraction With NLP-Powered QABots: A Real-World Scenario.
IEEE J Biomed Health Inform
November 2024
The advent of computerized medical recording systems in healthcare facilities has made data retrieval tasks easier, compared to manual recording. Nevertheless, the potential of the information contained within medical records remains largely untapped, mostly due to the time and effort required to extract data from unstructured documents. Natural Language Processing (NLP) represents a promising solution to this challenge, as it enables the use of automated text-mining tools for clinical practitioners.
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- The study investigates the effectiveness of the Italian Uniform Data Set Neuropsychological Test Battery (I-UDSNB) in differentiating between Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), and healthy controls (HC).
- The research involved 137 patients randomly assigned to MCI, AD, and HC groups and employed statistical analyses to identify tests that effectively distinguished between these groups.
- Results indicated that specific episodic memory tests from the I-UDSNB, particularly the Craft Story and Five Words tests, showed significant differentiation between MCI, AD, and HC, confirming the battery's reliability for assessing cognitive decline.
Mutations in presenilin 1 gene (PSEN1) are the most common causes of autosomal dominant early-onset Alzheimer's disease (EOAD). We report a novel PSEN1 mutation (I213S) that was discovered in an Italian patient with a family history of early-onset dementia, who developed a slowly progressive cognitive decline since the age of 40 years. Clinical investigations, including neuropsychological assessment, brain MRI and 18-fluorodeoxyglucose PET, as well as cerebrospinal fluid biomarkers, supported the diagnosis of EOAD.
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