An Aid System to the Medical Diagnosis of Patients with Neurological Problems

Quirino, E.M.; Paraguaçu, Fábio; Souza, George Márcio Costa

doi:10.1109/cbms.2006.36

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The drawbacks of all the previous models are that their operation is not compared in any way to experimental data. An ANN has the ability to learn how to do tasks on the data given for training or initial experience (Ouirino et al, 2006), but it does not support linguistic input values. So this disadvantage can be overwhelmed by adding fuzzy membership values at the input level (Kosko, 1991; Kriegsman and Barletta, 1993; Keller et al, 1992).…”

Section: Previous Study Of Earlier Models Of Autism In Neural Networkmentioning

confidence: 99%

“…Fuzzy set acts as an aid in providing information, and also could handle uncertainties at various levels. Neuro fuzzy system combines the advantage of fuzzy systems, which deal with explicit knowledge that can be explained and understood whereas neural networks deals with implicit knowledge that can be acquired only through learning (Ouirino et al, 2006; You et al, 2007). Neuro fuzzy computing makes one to build more intelligent decision making systems, thus both neural network and fuzzy systems are dynamic and parallel processing systems that estimate the input and the output functions.…”

Section: Previous Study Of Earlier Models Of Autism In Neural Networkmentioning

confidence: 99%

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Prediction of autistic disorder using neuro fuzzy system by applying ANN technique

Arthi

Tamilarasi²

2008

Intl J of Devlp Neuroscience

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The major challenge in medical field is to diagnose disorder rather than a disease. In this paper, a neuro fuzzy based model is designed for identification or diagnosis of autism. The problematic areas are gathered from every individual and the related linguistic inputs are converted into fuzzy input values which are in turn given as input to feed forward multilayer neural network. The network is trained using back propagation training algorithm and tested for its performance with the expertise.

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Section: Previous Study Of Earlier Models Of Autism In Neural Networkmentioning

confidence: 99%

Section: Previous Study Of Earlier Models Of Autism In Neural Networkmentioning

confidence: 99%

Prediction of autistic disorder using neuro fuzzy system by applying ANN technique

Arthi

Tamilarasi²

2008

Intl J of Devlp Neuroscience

View full text Add to dashboard Cite

show abstract

Using ontologies and probabilistic networks to develop a preventive stroke diagnosis system (PSDS)

Rodríguez‐González

Mayer

Alor-Hernández

et al. 2010

2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)

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Application of Probabilistic Techniques for the Development of a Prognosis Model of Stroke Using Epidemiological Studies

Rodríguez-González

Alor-Hernández

Mayer

et al. 2013

International Journal of Decision Support System Technology

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Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of recent artificial intelligence techniques. The objective of this paper is to propose a design of a probabilistic model for the prevention of stroke based on the most outstanding risk factors associated with this pathology. The authors gather probabilistic technologies to develop a new clinical support decision-making model. This development is part of a future system that aims to improve health-quality and prevent strokes. The Naïve Bayes model is proposed to calculate the probability of suffering a stroke in the future, based on epidemiological data. Due to a new design, the model is capable to determine the probability of suffering a stroke given some risk factors. The proposed model allows to calculate the final probability of suffering a specific disease for the preventive prognosis of the stroke based on risk factors. Our model enables query the probability of suffering a stroke giving as parameter the presence or absence of a specific indication, also setting if the indication can take several values with its presence, degree or value. With the obtained results the physician will be able to promote patients healthy living habits in order to prevent future stroke events.

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An Aid System to the Medical Diagnosis of Patients with Neurological Problems

Cited by 3 publications

References 7 publications

Prediction of autistic disorder using neuro fuzzy system by applying ANN technique

Prediction of autistic disorder using neuro fuzzy system by applying ANN technique

Using ontologies and probabilistic networks to develop a preventive stroke diagnosis system (PSDS)

Application of Probabilistic Techniques for the Development of a Prognosis Model of Stroke Using Epidemiological Studies

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