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An Overview of Various Computing Methods in Psychiatry and Neuropsychiatry

Prem Shanker Yadav
2017 International Journal for Research in Applied Science and Engineering Technology  
This review paper presents an overview of various computing methods for diagnosis of neuropsychiatric diseases.  ...  Related work is concerned with various computing methods and their involvement in medical diagnosis.  ...  The result of this system is certainty factor with range between -1 to 1. In this paper, author [17] implemented rule-based expert system for Alzheimer's disease diagnosis.  ... 
doi:10.22214/ijraset.2017.9183 fatcat:jxqjzm4kfndvrjm4srldqlbv3e

A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer׳s disease and mild cognitive impairment

Flávio Luiz Seixas, Bianca Zadrozny, Jerson Laks, Aura Conci, Débora Christina Muchaluat Saade
2014 Computers in Biology and Medicine  
Neurodegenerative diseases, such as Alzheimer's Disease (AD), have high prevalence in the elderly population.  ...  The network structure was built based on current diagnostic criteria and input from physicians who are experts in this domain.  ...  Acknowledgments We thank the Center of the Consortium to Establish a Registry for Alzheimer's Disease for kindly providing the patients' cases set used in this study.  ... 
doi:10.1016/j.compbiomed.2014.04.010 pmid:24946259 fatcat:ozm3w3kvc5a5bo4vkzmf3dzi6q

A Study on the Expert System of Internal Medicine Diagnosis

Xiaohui Zhang, J.Y. Li, T.Y. Liu, T. Deng, M. Tian
2015 MATEC Web of Conferences  
diagnosis from the angle of computer based on a brief introduction of the internal medicine diagnosis principle.  ...  As for diseases of respiratory system, pharyngitis, cough and fever are characteristics for diagnosis.  ... 
doi:10.1051/matecconf/20152205006 fatcat:d5wfljzfprbgpmxodbw5pf2u7m

Improved Application of Paraconsistent Artificial Neural Networks in Diagnosis of Alzheimer's Disease

Lopes
2011 Neuroscience International  
for recognizing predetermined patterns of EEG activity and to assess its value as a possible complementary method for AD diagnosis.  ...  Problem statement: The visual analysis of Electroencephalogram (EEG) activity has shown useful as a complementary tool in Alzheimer Disease (AD diagnosis) when the diagnosis remains uncertain, in addition  ...  Data analysis-expert system for high frequency band concentration: This expert system is utilized for Alpha band concentration in the exam.  ... 
doi:10.3844/amjnsp.2011.54.64 fatcat:3t6mexb5uzh4ph5ummwgb2d2fy

Improved Application of Paraconsistent Artificial Neural Networks in Diagnosis of Alzheimer's Disease

Helder F.S. Lopes, Jair M. Abe, Paulo A.M. Kanda, Sergio Machado, Bruna Velasques, Pedro Ribeiro, Luis F.H. Basile, Ricardo Nitrini, Renato Anghinah
2011 Neuroscience International  
for recognizing predetermined patterns of EEG activity and to assess its value as a possible complementary method for AD diagnosis.  ...  Problem statement: The visual analysis of Electroencephalogram (EEG) activity has shown useful as a complementary tool in Alzheimer Disease (AD diagnosis) when the diagnosis remains uncertain, in addition  ...  Data analysis-expert system for high frequency band concentration: This expert system is utilized for Alpha band concentration in the exam.  ... 
doi:10.3844/amjnsp.2011.17.27 fatcat:ikqilkxohbabvm5vhu5huulnbe

Multimodal prediction of conversion to Alzheimer's disease based on incomplete biomarkers∗This work was supported by the Bernstein Computational Program of the German Federal Ministry of Education and Research (01GQ1001C, 01GQ0851, GRK 1589/1), the European Regional Development Fund of the European Union (10153458 and 10153460), and Philips Research.∗

Kerstin Ritter, Julia Schumacher, Martin Weygandt, Ralph Buchert, Carsten Allefeld, John-Dylan Haynes
2015 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
Methods: Based on Alzheimer's Disease Neuroimaging Initiative data from MCI-patients including all available modalities, we predicted the conversion to AD within 3 years.  ...  This study investigates the prediction of mild cognitive impairment-to-Alzheimer's disease (MCI-to-AD) conversion based on extensive multimodal data with varying degrees of missing values.  ...  Acknowledgments The authors would like to thank Catharina Lange, Anja Maeurer, Anna Roberts, Lothar Spies, and Per Suppa for their advice regarding the expert features, Fabian Wenzel and Daniel Gieschen  ... 
doi:10.1016/j.dadm.2015.01.006 pmid:27239505 pmcid:PMC4877756 fatcat:jb4rayhnjbczrlvg4qsklxnham

Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients

Jörn Lötsch, Dario Kringel, Alfred Ultsch
2021 BioMedInformatics  
It is pointless to ask for an explanation for a decision. A detailed understanding of the mathematical details of an AI algorithm may be possible for experts in statistics or computer science.  ...  When the diagnosis or selection of a therapy is no longer made solely by the physician, but to a significant extent by a machine using algorithms, decisions become nontransparent.  ...  physician in the case of AI-based clinical decisions related to diagnosis, treatment, or prognosis of a disease.  ... 
doi:10.3390/biomedinformatics2010001 fatcat:tcpsshmsevaazjngzd2mxzzexu

Longitudinal Speech Biomarkers for Automated Alzheimer's Detection

Jordi Laguarta, Brian Subirana
2021 Frontiers in Computer Science  
samples and aggregates biomarker features from the sensory stream and cognitive core creating a multi-modal graph neural network of symbolic compositional models for the target task.  ...  We introduce a novel audio processing architecture, the Open Voice Brain Model (OVBM), improving detection accuracy for Alzheimer's (AD) longitudinal discrimination from spontaneous speech.  ...  There is an extensive cough-based diagnosis research of respiratory diseases but to our knowledge, no one had applied it to discriminate other, apparently unrelated, diseases like Alzheimer's.  ... 
doi:10.3389/fcomp.2021.624694 fatcat:m3kdwrsmbvgtlcdmjuccctkmrq

Intelligent diagnosis of jaundice with dynamic uncertain causality graph model

Shao-rui Hao, Shi-chao Geng, Lin-xiao Fan, Jia-jia Chen, Qin Zhang, Lan-juan Li
2017 Journal of Zhejiang University SCIENCE B  
Then a diagnostic modeling and reasoning system using the dynamic uncertain causality graph was proposed.  ...  A modularized modeling scheme was presented to reduce the complexity of model construction, providing multiple perspectives and arbitrary granularity for disease causality representations.  ...  Discussion This study proposed a computer-aided diagnostic system of jaundice in primary clinics based on the DUCG model.  ... 
doi:10.1631/jzus.b1600273 pmid:28471111 pmcid:PMC5442976 fatcat:6u4cg6h4gbcstpft7x7obneb6a

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

Shangran Qiu, Prajakta S Joshi, Matthew I Miller, Chonghua Xue, Xiao Zhou, Cody Karjadi, Gary H Chang, Anant S Joshi, Brigid Dwyer, Shuhan Zhu, Michelle Kaku, Yan Zhou (+9 others)
2020 Brain  
This framework provides a clinically adaptable strategy for using routinely available imaging techniques such as MRI to generate nuanced neuroimaging signatures for Alzheimer's disease diagnosis, as well  ...  of individual Alzheimer's disease risk en route to accurate diagnosis.  ...  (17SDG33670323) from the American Heart Association, and a Hariri Research Award from the Hariri Institute for Computing and Computational Science & Engineering at Boston University, Framingham Heart  ... 
doi:10.1093/brain/awaa137 pmid:32357201 fatcat:gy62vvhwevccflc57zfjqbj7fy

Identification of "pathologs" (disease-related genes) from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system

Diego G Silva, Christian Schönbach, Vladimir Brusic, Luis A Socha, Takeshi Nagashima, Nikolai Petrovsky
2004 BMC Genomics  
Of these, 36 were identified by computational tools only, 49 by human expert analysis only and 97 by both methods.  ...  We define a new term "patholog" to mean a homolog of a human disease-related gene encoding a product (transcript, anti-sense or protein) potentially relevant to disease.  ...  Acknowledgements DS is the recipient of a scholarship from the Canberra Hospital Salaried Specialists Private Practice Fund.  ... 
doi:10.1186/1471-2164-5-28 pmid:15115540 pmcid:PMC420239 fatcat:5up4kmbwujdefeyh7hxmpcxgay

Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review

Jahanzaib Latif, Chuangbai Xiao, Shanshan Tu, Sadaqat Ur Rehman, Azhar Imran, Anas Bilal
2020 IEEE Access  
Medical expert systems are generally concerned on the computer writing programs to perform disease diagnosis.  ...  Initially, some medical expert systems are designed for automatic diagnosis of diseases.  ... 
doi:10.1109/access.2020.3016782 fatcat:j76bwlyrj5dv5mhhsvs4apynje

Symbolic Entropy Analysis and Its Applications

Raúl Alcaraz
2018 Entropy  
This editorial explains the scope of the special issue and provides a thematic introduction to the contributed papers.  ...  Accordingly, the authors noticed that in most brain regions had lower dLZC values for patients suffering from Alzheimer's disease than for age-matched control subjects, suggesting a more limited richness  ...  attributes and, finally, an expert classifier tailored for each high-confidence label.  ... 
doi:10.3390/e20080568 pmid:33265656 fatcat:rhkxu3gktjbfvhs576wfdjfbhi

Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods [article]

Zohaib Salahuddin, Henry C Woodruff, Avishek Chatterjee, Philippe Lambin
2021 arXiv   pre-print
Artificial Intelligence has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions.  ...  for medical image analysis applications based on the type of generated explanations and technical similarities.  ...  [137] utilized occlusion maps for interpretability of a model developed for the diagnosis of Alzheimer's disease.  ... 
arXiv:2111.02398v1 fatcat:glrfdkbcqrbqto2nrl7dnlg3gq

Chronicles of Alzheimer's Disease: A Medicinal & Therapeutic Overview in Bangladeshi Aspect

D. S. Kadir, G. M. Sadik
2019 Journal of Pharmaceutical Research International  
Nervous system and Neurological disorder sounds like a deep-sea of neurobiological harmony, reflecting a glorious bond and symbolizing a deep sign of interrelated linkages.  ...  A handful number of patients been analysed through the regular observations based on their previous therapeutic history, expert opinions of scientists and physicians, as well as a smartly organized collection  ...  : Neuroscience; nervous system; Alzheimer's disease; neurodegenerative disease; medication.  ... 
doi:10.9734/jpri/2019/v30i530282 fatcat:vdevvyfz5rdhvpqeydz5easjyy
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