Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …
Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …
causes brain cells to die. This neurological condition progressively hampers cognitive and …
Artificial intelligence techniques for automated diagnosis of neurological disorders
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis
In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic
data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive …
data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive …
An enhanced grey wolf optimization based feature selection wrapped kernel extreme learning machine for medical diagnosis
In this study, a new predictive framework is proposed by integrating an improved grey wolf
optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO‐KELM …
optimization (IGWO) and kernel extreme learning machine (KELM), termed as IGWO‐KELM …
Multimodal machine learning workflows for prediction of psychosis in patients with clinical high-risk syndromes and recent-onset depression
Importance Diverse models have been developed to predict psychosis in patients with
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …
Early dementia diagnosis, MCI‐to‐dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for …
PM Rossini, F Miraglia, F Vecchio - Alzheimer's & Dementia, 2022 - Wiley Online Library
Introduction Dementia in its various forms represents one of the most frightening
emergencies for the aging population. Cognitive decline—including Alzheimer's disease …
emergencies for the aging population. Cognitive decline—including Alzheimer's disease …
2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2015 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
[PDF][PDF] A novel approach of CT images feature analysis and prediction to screen for corona virus disease (COVID-19)
The paper demonstrates the analysis of Corona Virus Disease based on a probabilistic
model. It involves a technique for classification and prediction by recognizing typical and …
model. It involves a technique for classification and prediction by recognizing typical and …
Applied machine learning in Alzheimer's disease research: omics, imaging, and clinical data
Alzheimer's disease (AD) remains a devastating neurodegenerative disease with few
preventive or curative treatments available. Modern technology developments of high …
preventive or curative treatments available. Modern technology developments of high …
Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer's disease
K Blanco, S Salcidua, P Orellana… - Alzheimer's Research & …, 2023 - Springer
Mild cognitive impairment (MCI) is often considered an early stage of dementia, with
estimated rates of progression to dementia up to 80–90% after approximately 6 years from …
estimated rates of progression to dementia up to 80–90% after approximately 6 years from …