Neural network aided diagnosis based on temperature at a cup uncture points

dc.contributor.authorDziuban, Е.
dc.date.accessioned2017-07-20T16:05:48Z
dc.date.available2017-07-20T16:05:48Z
dc.date.issued2003
dc.description.abstractPossibility of applying of neural networks (NN) for diagnosing “an out of order” state of organism is described in this paper. The aim of research was to obtain a tooI supporting a medical diagnosis. Data set used in the research included temperature values, which were measured at selected acupuncture points (AP) of both healthy and ill persons. Research has been concerned with a structure of neural network and preparing a learning set. Preliminary results revealed the correct recognition of 81 % for category ill and 62 % for category healthy.uk_UA
dc.identifier.citationDziuban Е. Neural network aided diagnosis based on temperature at a cup uncture points / Е. Dziuban // Вимірювальна техніка та метрологія : міжвідомчий науково-технічний збірник / Міністерство освіти і науки України ; відповідальний редактор Б. І. Стадник. – Львів : Видавництво Національного університету «Львівської політехніка», 2003. – Випуск 63. – C. 158–160. – Bibliography: 6 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/38576
dc.language.isoenuk_UA
dc.publisherВидавництво Національного університету "Львівська політехніка"uk_UA
dc.titleNeural network aided diagnosis based on temperature at a cup uncture pointsuk_UA
dc.typeArticleuk_UA

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