[go: up one dir, main page]

Wyns et al., 2004 - Google Patents

Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion

Wyns et al., 2004

Document ID
9340581727058709507
Author
Wyns B
Sette S
Boullart L
Baeten D
Hoffman I
De Keyser F
Publication year
Publication venue
Artificial Intelligence in Medicine

External Links

Snippet

Rheumatoid arthritis (RA) and spondyloarthropathy (SpA) are the two most frequent forms of chronic autoimmune arthritis. These diseases lead to important inflammatory symptoms resulting in an important functional impairment. This paper introduces a self-organizing …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/18Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2216/00Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F17/30 and subgroups
    • G06F2216/03Data mining

Similar Documents

Publication Publication Date Title
Teng et al. A survey on the interpretability of deep learning in medical diagnosis
Alizadehsani et al. Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020)
Jerlin Rubini et al. Efficient classification of chronic kidney disease by using multi‐kernel support vector machine and fruit fly optimization algorithm
Nourmohammadi-Khiarak et al. New hybrid method for heart disease diagnosis utilizing optimization algorithm in feature selection
Straszecka Combining uncertainty and imprecision in models of medical diagnosis
Khashei et al. A fuzzy intelligent approach to the classification problem in gene expression data analysis
Hussain et al. Deep learning-based diagnosis of disc degenerative diseases using MRI: a comprehensive review
Ma et al. Machine learning in TCM with natural products and molecules: current status and future perspectives
Hakkoum et al. Assessing and comparing interpretability techniques for artificial neural networks breast cancer classification
West et al. Improving diagnostic accuracy using a hierarchical neural network to model decision subtasks
Khalil et al. Diagnosis of blood cells using deep learning
Chithra et al. Dynamic neutrosophic cognitive map with improved cuckoo search algorithm (DNCM-ICSA) and ensemble classifier for rheumatoid arthritis (RA) disease
Singh et al. A new intelligent medical decision support system based on enhanced hierarchical clustering and random decision forest for the classification of alcoholic liver damage, primary hepatoma, liver cirrhosis, and cholelithiasis
Chang et al. The study that applies artificial intelligence and logistic regression for assistance in differential diagnostic of pancreatic cancer
Ciaburro An ensemble classifier approach for thyroid disease diagnosis using the AdaBoostM algorithm
Li et al. Predicting liver cancers using skewed epidemiological data
Wyns et al. Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion
Mehrankia et al. Prediction of heart attacks using biological signals based on recurrent GMDH neural network
Sameer et al. Multi-objectives TLBO hybrid method to select the related risk features with rheumatism disease
Lytvynenko et al. Bayesian Methods Application for the Differential Diagnosis of the Chronic Obstructive Pulmonary Disease.
Nogueira et al. Heart sounds classification using images from wavelet transformation
Wyns et al. Prediction of arthritis using a modified Kohonen mapping and case based reasoning
Shahabi et al. Rule extraction for fatty liver detection using neural networks
Dinakaran et al. An efficient drug compound analysis using spectral deep feature classification based compound analyse model for drug recommendation
Kumar et al. Medical image classification algorithm based on weight initialization-sliding window fusion convolutional neural network