AUTOMATION OF THE HEREDITARY METABOLIC DISEASES DIAGNOSING PROCESS USING THE INFORMATION AND ANALYTICAL SYSTEM OF EARLY DIAGNOSIS
Keywords:orphan diseases, informatization, symptom, hypothesis, recognition model, user interface, neural networks, artificial neural network.
The article deals with the possibility of automated application of protocols for early diagnosis in patients with hereditary metabolic diseases. An improvement in diseases diagnosing algorithm with regard to the computing speed is proposed. A method for assisting the doctor of orphan disease department of the NCSH «OKHMADYT» in the process of diagnosing is described.
The article describes tools and methods used in the software package.
Vasil'ev, V. I. (1969). Raspoznayushchie sistemy [Recognizing systems]: handbook. Kyiv: Naukova dumka [in Russian].
Ministry of Health of Ukraine (2012, February 14). Order No. 110: Instruction on filling out the form of the primary accounting documentation No. 025/о «Medical
card of the outpatient patient №_». The Verkhovna
Rada of Ukraine web site. Legislation of Ukraine. Retrieved from: http://zakon2.rada.gov.ua/laws/show/ z0669-12 [in Ukrainian].
Ministry of Health of Ukraine (2012, June 18) Draft Concept for the creation of a quality system for rendering assistance to patients with rare diseases in Ukraine. Retrieved from: http://www.moz.gov.ua/ua/print/ Pro_20120316_0.html [in Ukrainian].
Hegglin R. A. (1997). Differential diagnosis of internal disease. Moscow, Triada-X [in Russian].
About MySQL (n. d.) MySQL. Retrieved from : http:// www.mysql.com/about/
Collins, F. S. & Varmus, H. (2015). A new initiative on precision medicine. New Engl. J. Med. 372(9), 793-795.
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