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

Arthi, K.; Tamilarasi, A.

doi:10.1016/j.ijdevneu.2008.07.013

Cited by 32 publications

(14 citation statements)

References 13 publications

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“…Then, it can be inferred that the Model is able to classify the severity level of the phonological disorders properly, based on the criteria on which it was grounded. Some studies confirm that by assuring that a Fuzzy Model can help on the decision making and on the selection of efficient methods and procedures 2,3,23 . The disagreements verified on the judgment of the severity level of the phonological disorders between the Speech Therapists from both groups STG-I and STG-II may have occurred due to each Speech Therapist's own experience.…”

Section: Picture 6 -Difficulties Pointed For the Severity Level Of Thmentioning

confidence: 89%

“…Validação de um modelo linguístico fuzzy para classificar a gravidade do desvio fonológico Ana Rita Brancalioni (1) , Karine Faverzani Magnago (2) , Márcia Keske-Soares (3) (1) Speech Therapist, Master's in Human Communication Disorders -Federal University of Santa Maria. (2) Bachelor's in Mathematics.…”

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severunclassified

“…(2) Bachelor's in Mathematics. PhD in Applied Mathematics at the State University of Campinas -UNICAMP, Campinas (RS), Brazil.…”

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severmentioning

confidence: 99%

“…In this context, many proposals and Models have been created to be applied to Speech Therapy [1][2][3][4][5] . The concept of Model is an analytical structure which studies the relationships among a number of variables.…”

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severmentioning

confidence: 99%

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Validação de um modelo linguístico fuzzy para classificar a gravidade do desvio fonológico

2011

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. The concept of Model is an analytical structure which studies the relationships among a number of variables. It is composed by hypotheses which are the foundation for the extraction of implications and predictions. To be useful, the model has to present a simplified and abstract version of the reality 6 . On a study 5 , a Fuzzy Linguistic Model was developed in order to classify the severity level of the phonological disorders regarding quantity. The theoretical foundation was based on the Features Complexity Implicational Model (FCIM) 7,8 . The mathematical models, as the one from this study 5 , are built from a well-known and widely studied mathematical theory. When it is efficient, the model allows researchers to elaborate predictions, ABSTRACT Purpose: to check if the criteria adopted from the Fuzzy Linguistic Model to classify the severity of Phonological Disorder (PD) are employed in the practice of speech and language therapists and whether they are in conformity with the purpose of such model. It is furthermore intended to analyze the acquiescence between PD severity classified by the Model and the one deemed by speech and language therapists and check the main difficulties. Method: the study included two samples. The first one was comprised of a representative number of deviating phonological systems (n=52) and classified by the Model when it was proposed. The second one comprised two groups of speech and language therapists GF-I and GF-II. The speech and language therapists were asked to deem the severity of deviating in phonological systems, mapped in the Implicational Model of Feature Complexity -MICT as Severe, Moderate-Severe, Moderate-Mild, and Mild. Next, criteria and main difficulties were described in a questionnaire. Kappa statistics was used, with a significance level of p<0.05. Results: the criteria used in the proposal were generally used by GF-I and considered as adequate by GF-II. There was an acquiescence between classification of severity obtained by the Model and the one deemed by the speech and language therapists. The most frequently reported difficulty was distinguishing between intermediate degrees. Conclusions: the Fuzzy Linguistic Model criteria are used to classify PD severity when based on MICT. Furthermore, the criteria are in acquiescence with the purpose of the Model. Due to the difficulties, other forms of classifying severity can be added in order to characterize PD over other major aspects.

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Section: Picture 6 -Difficulties Pointed For the Severity Level Of Thmentioning

confidence: 89%

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severunclassified

“…(2) Bachelor's in Mathematics. PhD in Applied Mathematics at the State University of Campinas -UNICAMP, Campinas (RS), Brazil.…”

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severmentioning

confidence: 99%

Section: Validation Of a Fuzzy Linguistic Model To Classify The Severmentioning

confidence: 99%

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Validação de um modelo linguístico fuzzy para classificar a gravidade do desvio fonológico

2011

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“…This approach is proposed to support apart from medical practitioners, psychologists and special educators. In future the autistic disorder could be predicted using k-nearest neighbor algorithm for a comparative research [9].…”

Section: Diagnosismentioning

confidence: 99%