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Journal of Research in Medical Sciences، جلد ۱۴، شماره ۲، صفحات ۸۹-۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی An intelligent system based on fuzzy probabilities for medical diagnosis – a study in aphasia diagnosis
چکیده انگلیسی مقاله BACKGROUND : Aphasia diagnosis is particularly challenging due to the linguistic uncertainty and vagueness, inconsistencies in the definition of aphasic syndromes, large number of measurements with mprecision, natural diversity and subjectivity in test objects as well as in opinions of experts who diagnose the disease. METHODS : Fuzzy probability is proposed here as the basic framework for handling the uncertainties in medical diagnosis and particularly aphasia diagnosis. To efficiently construct this fuzzy probabilistic mapping, statistical analysis is performed that constructs input membership functions as well as determines an effective set of input features. RESULTS : Considering the high sensitivity of performance measures to different distribution of testing/training sets, a statistical t-test of significance is applied to compare fuzzy approach results with NN esults as well as author’s earlier work using fuzzy logic. The proposed fuzzy probability estimator approach clearly provides better diagnosis for both classes of data sets. Specifically, for the first and second type of fuzzy probability classifiers, i.e. spontaneous speech and comprehensive model, P-values are 2.24E-08 and 0.0059, espectively, strongly rejecting the null hypothesis. CONCLUSIONS : The technique is applied and compared on both comprehensive and spontaneous speech test data for diagnosis of four Aphasia types: Anomic, Broca, Global and Wernicke. Statistical analysis confirms that the proposed approach can significantly improve accuracy using fewer Aphasia features. KEYWORDS : Aphasia, fuzzy probability, fuzzy logic, medical diagnosis, fuzzy rules.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله مجید مشتاق خراسانی | majid moshtagh khorasani
department of electrical engineering


محمد r اکبرزاده t | mohammad r akbarzadeh t
department of electrical engineering


نادر جهانگیری | nader jahangiri
department of linguistics, ferdowsi university of mashhad

سازمان اصلی تایید شده: دانشگاه فردوسی (Ferdowsi university)

مهدی خوبدل | mahdi khoobdel
health research center, baqiyatallah university of medical sciences

سازمان اصلی تایید شده: دانشگاه علوم پزشکی بقیه الله (Baqiyatallah university of medical sciences)

نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/2287
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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