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Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem

Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli
2019 Information  
We show that our approach compares favorably with state-of-the-art methods, and more importantly, allows the physician to identify an explicit model relevant for the diagnosis based on the most informative  ...  The use of Artificial Intelligence (AI) systems for automatic diagnoses is increasingly in the clinical field, being a useful support for the identification of several diseases.  ...  Conclusions This work proposed an evolutionary approach for the automatic diagnosis of Parkinson's disease through handwritten shape analysis.  ... 
doi:10.3390/info10010030 fatcat:lngtfit3mnadjokcanj6mmhadi

Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease [article]

Amir Dehsarvi, Stephen L. Smith
2019 arXiv   pre-print
Accurate early diagnosis and monitoring of neurodegenerative conditions is essential for effective disease management and delivery of medication and treatment.  ...  This research develops automatic methods for detecting brain imaging preclinical biomarkers for Parkinson's disease (PD) by considering the novel application of evolutionary algorithms.  ...  Introduction In the UK, one in 500 people have Parkinson's disease (PD) and this is the 2 nd most prevalent neurodegenerative disease globally, trailing only Alzheimer's disease [1] .  ... 
arXiv:1910.05378v1 fatcat:til53ehpizbdbbvo4em4vskf6m

Towards the Early Diagnosis of Alzheimer's Disease through the Application of a Multicriteria Classification Model [chapter]

Amaury Brasil, Plcido Rogrio, Andr Lus Vasconcelos Coelho
2012 Genetic Algorithms in Applications  
The Alzheimer's disease (AD) is a progressive and degenerative disease of the brain which causes a serious impairment over its two main activities: thinking and memory.  ...  AD causes a gradual loss of intellectual abilities with deterioration in cognition, function, and behavior, affecting many aspects of an individual life.  ...  diagnosis of the Alzheimer's disease.  ... 
doi:10.5772/38425 fatcat:yx3lm7ihnfhkbnxf7k7hocu3ay

An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach

Zhennao Cai, Jianhua Gu, Caiyun Wen, Dong Zhao, Chunyu Huang, Hui Huang, Changfei Tong, Jun Li, Huiling Chen
2018 Computational and Mathematical Methods in Medicine  
Parkinson's disease (PD) is a common neurodegenerative disease, which has attracted more and more attention. Many artificial intelligence methods have been used for the diagnosis of PD.  ...  The proposed method, an evolutionary instance-based learning approach termed CBFO-FKNN, was developed by coupling the chaotic bacterial foraging optimization with Gauss mutation (CBFO) approach with FKNN  ...  Acknowledgments This research is supported by the National Natural Science Foundation of China (61702376 and 61402337).  ... 
doi:10.1155/2018/2396952 pmid:30034509 pmcid:PMC6032994 fatcat:w4waoi5jhzbehndrmvi5czffne

Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review

Jasjit S. Suri, Mahesh A. Maindarkar, Sudip Paul, Puneet Ahluwalia, Mrinalini Bhagawati, Luca Saba, Gavino Faa, Sanjay Saxena, Inder M. Singh, Paramjit S. Chadha, Monika Turk, Amer Johri (+31 others)
2022 Diagnostics  
and Motivation: Parkinson's disease (PD) is one of the most serious, non-curable, and expensive to treat.  ...  atherosclerotic image-based biomarkers, and medicine usage for the PD patients for the design of DL point-based models for CVD/stroke risk stratification.  ...  The majority of the studies explain voice as an input parameter for the diagnosis of PD.  ... 
doi:10.3390/diagnostics12071543 pmid:35885449 pmcid:PMC9324237 fatcat:rrhkppghkfayfbnlsyx7hq7koa

Hippocampal Shape Analysis in Alzheimer's Disease and Frontotemporal Lobar Degeneration Subtypes

Olof Lindberg, Mark Walterfang, Jeffrey C.L. Looi, Nikolai Malykhin, Per Östberg, Bram Zandbelt, Martin Styner, Beatriz Paniagua, Dennis Velakoulis, Eva Örndahl, Lars-Olof Wahlund
2012 Journal of Alzheimer's Disease  
All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by [US-AB universitetsservice]  ...  This research has made use of the SMILE medical imaging laboratory at Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden.  ...  From an evolutionary perspective the PFC has been described as an extension of the motor cortex (Fuster, 2008; Wood and Grafman, 2003) .  ... 
doi:10.3233/jad-2012-112210 pmid:22414571 pmcid:PMC4862006 fatcat:kwegbnd4kzdixnqjaynkt6x2b4

Neurological Diseases from a Systems Medicine Point of View [chapter]

Marek Ostaszewski, Alexander Skupin, Rudi Balling
2016 Msphere  
Here, we review approaches to construct networks specifi c for neurological disorders describing disease-related pathology on different scales: the molecular, cellular, and brain level.  ...  The diffi culty to understand, diagnose, and treat neurological disorders stems from the great complexity of the central nervous system on different levels of physiological granularity.  ...  de novo assemble the interactions between candidate molecules or to review an automatically constructed network.  ... 
doi:10.1007/978-1-4939-3283-2_11 pmid:26677186 fatcat:jfrqbwg7uzchxcnweeq56vwdmu

Towards a systems approach for chronic diseases, based on health state modeling

Michael Rebhan
2017 F1000Research  
This platform is designed to facilitate the discovery of links between opportunities related to a) the modernization of diagnosis, including the increased use of omics profiling, b) patient-centric approaches  ...  Rising pressure from chronic diseases means that we need to learn how to deal with challenges at a different level, including the use of systems approaches that better connect across fragments, such as  ...  on various aspects of the described systems approach.  ... 
doi:10.12688/f1000research.11085.1 pmid:28529704 pmcid:PMC5419256 fatcat:cfgldtfvxvhfxlgpf4cbfwm3ye

Disease-Associated Genetic Variation in Human Mitochondrial Protein Import

Emmanuelle Nicolas, Rossella Tricarico, Michelle Savage, Erica A. Golemis, Michael J. Hall
2019 American Journal of Human Genetics  
We here describe an emerging class of disease-linked gene variants that are found to impact the mitochondrial import machinery itself or to affect the proteins during their import into mitochondria.  ...  Of the proteins essential for mitochondrial function, more than 98% are encoded in the cell nucleus, translated in the cytoplasm, sorted based on the presence of encoded mitochondrial targeting sequences  ...  A full list of contributing groups can be found at Web Resources  ... 
doi:10.1016/j.ajhg.2019.03.019 pmid:31051112 pmcid:PMC6506819 fatcat:fctii6wkqvevjlxmsur4daa7aq

Data Mining Techniques In Medical Field For Health Care System

2018 Zenodo  
The mining of this well-informed data, in series from the mass data which will be very useful for huge progress in medical field but it is insufficient.  ...  The relationship comes together from the data of patients composed in database aid in the resultant progression.  ...  There are very few papers which work on data preprocessing, feature selection and reduction STATEMENT OF THE PROBLEM The present techniques used for disease diagnosis are still facing problem for false  ... 
doi:10.5281/zenodo.1143771 fatcat:ag6kcbh7wbh4fem725b4zoznqq

Abstracts of the 4th World Parkinson Congress, September 20–23, 2016, Portland, OR, USA

2016 Journal of Parkinson's Disease  
PD is a multi-system disorder and although dopaminergic replacement therapies are highly effective for ameliorating motor symptoms, other features of the disease require a more holistic approach.  ...  The case studies will try to demonstrate what the nurse navigator model of care approach can do to explore the needs for PLWP.  ...  Generally the diagnosis cannot be made before some of these movement problems begin.  ... 
doi:10.3233/jpd-169900 pmid:27589541 fatcat:ld522ggsvvceriigc4fi7e5g7q

Abstracts for the Second International Meeting of the Milan Center for Neuroscience (Neuromi): Prediction and Prevention of Dementia: New Hope (Milan, July 6–8, 2016)

2016 Journal of Alzheimer's Disease  
Nanomedicine, an offspring of biotechnology, is exploiting the use of devices with size in the order of billionths of meters (nanoparticles, nanobiosensors) for therapy and diagnosis of human diseases.  ...  [1] Alzheimer's disease (AD) is associated with an increased risk of epilepsy. Seizure activity has been interpreted as a secondary process of neurodegeneration.  ...  Aim of this work consisted in approaching various targets within the onecarbon metabolism in AN, especially when considering that the methylation potential is granted by the dietary intake of the essential  ... 
doi:10.3233/jad-169002 pmid:27341014 fatcat:accgaph5uzalzevbhb7bumvvmy

Borna Disease

Carolyn Hatalski
1997 Emerging Infectious Diseases  
Nhiem Le-Viet is an infectious diseases clinician at the Quang Nam Central General Hospital in Quang Nam, Vietnam.  ...  Acknowledgments We thank Kenji Miyakawa for making the initial clinical diagnosis of trichinellosis and Tomoe Yukawa for diagnosing and managing the patients with uveitis of trichinellosis.  ...  Modern molecular diagnosis would aid in species resolution, but this approach is not necessarily an option in underserved areas.  ... 
doi:10.3201/eid0302.970205 pmid:9204293 pmcid:PMC2627619 fatcat:5kbjfjkfrncdvpmtvmrnauxinq


2013 Cerebrovascular Diseases  
The intima-media thickness (IMT) as measured by ultrasonography of carotid arteries is an acknowledged non-invasive method for assessing the impact of vascular risk factors and the progression of cardiovascular  ...  Cerebral autoregulation is an important physiological mechanism that assists in maintaining cerebral blood flow relatively constant in the face of constantly changing blood pressure.  ...  Object: Sonothrombolysis (ST) has recently been considered an emerging modality for the treatment of stroke.  ... 
doi:10.1159/000351748 pmid:23712294 fatcat:kuw65edukrgkfdsnvwgsbj2r4m

IX Congresso Sindem: Italian Association for the study of Dementia linked to the Italian Neurological Society (SIN)

Vincenzo Bonavita, Alessandro Padovani, Amalia Bruni, Leonardo Pantoni, Carlo Caltagirone, Lucilla Parnetti, Francesca Clerici, Daniela Perani, Monica Di Luca, Sandro Sorbi, Gianluigi Forloni, Francesco Tagliavini (+6 others)
2014 Journal of Alzheimer's Disease  
Background: Structural MRI is known to provide relevant information for the phenotypic characterization and diagnosis of FTD syndromes and can aid the differential diagnosis with AD.  ...  The spread of atrophy (posteriorly in FTD and anteriorly in AD) is consistent with the Abstracts Abstracts S2 internal consistency for the whole scale (0.83 for total frequency; 0.89 for total reaction  ...  Neuropsychological assessment and examination psychological according to the "bio-psycho-social approach" are essential for an accurate diagnosis and to avoid a late diagnosis. behavioral changes, an examination  ... 
doi:10.3233/jad-149999 pmid:24916691 fatcat:tujmogibkjbxzocjjokjx2w6ua
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