Machine Learning Model to Predict Diagnosis of Mild Cognitive Impairment by Using Radiomic and Amyloid Brain PET-Reference-Cited by-同舟云学术

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Machine Learning Model to Predict Diagnosis of Mild Cognitive Impairment by Using Radiomic and Amyloid Brain PET

Published:2022-10-14 Issue:1 Volume:48 Page:1-7
ISSN:1536-0229
Container-title:Clinical Nuclear Medicine
language:en
Short-container-title:Clin Nucl Med

Author:

Ciarmiello Andrea,Giovannini Elisabetta,Pastorino Sara,Ferrando Ornella,Foppiano Franca,Mannironi Antonio,Tartaglione Antonio,Giovacchini Giampiero,

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference47 articles.

1. Alzheimer disease: epidemiology, diagnostic criteria, risk factors and biomarkers;Biochem Pharmacol,2014

2. Neuropathologic alterations in mild cognitive impairment: a review;J Alzheimers Dis,2010

3. A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers;Neurology,2016

4. Radiomics: the facts and the challenges of image analysis;Eur Radiol Exp,2018

5. Radiomic features of hippocampal subregions in Alzheimer’s disease and amnestic mild cognitive impairment;Front Aging Neurosci,2018

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1. Predicting early Alzheimer’s with blood biomarkers and clinical features;Scientific Reports;2024-03-13

2. Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?;Magnetic Resonance in Medical Sciences;2024

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5. Current and future perspectives of an early diagnosis of cognitive impairment;Frontiers in Neurology;2023-04-05

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