Artificial intelligence using for medical diagnosis via implementation of expert systems

Abstract

Modern biomedical technologies development affords to provide the doctor with colossal amount of information about patient’s organism condition. However, the opportunity of using this data for medical diagnosis fully now is a distantive perspective only. The reason is a human’s limited ability in assessment and interpretation this data arrays. The solution seems in artificial intelligence and expert systems wide introduction to medicine. Currently, almost all authors consider various options for constructing artificial neural networks as a way to implement artificial intelligence. This approach, which goes back to the fundamental theorem of A.N. Kolmogorov, the works of V.I. Arnold and Hecht-Nielsen [3], demonstrates excellent capabilities in a number of pattern recognition problems, which are reduced to revealing hidden details against the background of input noises. Much less often is mentioned such a method of modeling formal thinking as expert systems, which arose in the 1960s and then went into the shadows. Since the inception of cybernetics, computer programmers have tried to reproduce the mechanism of human thinking, that is, the task was to teach the computer to "think". The first known results in the field of creating and using intelligent systems were laid by the work of Norbert Wiener and G.S. Altshuller. At the same time, the creation of intelligent systems was reduced to the development of programs that solve problems using a variety of heuristic methods based on the property of human thinking to generalize.

Keywords

artificial intelligence / expert system / differential diagnosis / knowledge base / inference engine / access interface / clinical diagnostics / laboratory diagnostics / medical diagnostics

References

[1] Kolmogorov AN. O predstavlenii nepreryvnyh funkcij neskol’kih peremennyh superpozicijami nepreryvnyh funkcij men’shego chisla peremennyh AN Kolmogorov. Izvestija AN SSSR. 1956;2(108):179–182. (In Russ.)

[2] Колмогоров А.Н. О представлении непрерывных функций нескольких переменных суперпозициями непрерывных функций меньшего числа переменных // Известия АН СССР. 1956. № 2 (108). С. 179–182.

[3] Arnol`d VI. O funkcii treh peremennyh. VI Arnol`d. Izvestija AN SSSR. 1957;9(114):679–681. (In Russ.)

[4] Арнольд В.И. О функции трех переменных // Известия АН СССР. 1957. № 9 (114). С. 679–681.

[5] Hecht-Nielsen R. Kolmogorov’s Mapping Neural Network Existence Theorem. R Hecht-Nielsen. IEEE First Annual Int. Conf. on Neural Netwoks, San Diego. 1987;3:11–13.

[6] Hecht-Nielsen R. Kolmogorov’s Mapping Neural Network Existence Theorem. R Hecht-Nielsen. IEEE First Annual Int. Conf. on Neural Netwoks, San Diego. 1987. Vol. 3, P. 11–13.

[7] Kruglov VV. Iskusstvennye nejronnye seti. Teoriya i praktika. 2-e izd., stereotip. VV Kruglov, VV Borisov. Moscow: Goryachaya liniya-Telekom; 2002;382. (In Russ.)

[8] Круглов В.В. Искусственные нейронные сети. Теория и практика. 2-е изд., стереотип. М.: Горячая линия-Телеком, 2002. 382 с.

[9] Viner N. Kibernetika. N Viner. Moscow: Nauka; 1983. (In Russ.)

[10] Винер Н. Кибернетика. М.: Наука, 1983. 344 с.

[11] Altshuller GS, et al. Poisk novyx idej: ot ozareniya k texnologii. Kishinyov: Kartya moldovenyaske; 1989. 111 p. (In Russ.)

[12] Альтшуллер Г.С., и др. Поиск новых идей: от озарения к технологии. Кишинев: Картя молдовеняскэ, 1989. 111 с.

[13] Ekspertnye sistemy. Principy raboty i primery. Ed. by R. Forsajta. Moscow: Radio i svyaz; 1987. (In Russ.)

[14] Экспертные системы. Принципы работы и примеры / под ред. Р. Форсайта. М.: Радио и связь, 1987. 111 с.

[15] Gavrilova TA, Xoroshevskij VF. Bazy` znanij intellektual`ny`x system. Saint Petersburg: Piter; 2000. 384 p. (In Russ.)

[16] Гаврилова Т.А., Хорошевский В.Ф. Базы знаний интеллектуальных систем. СПб.: Питер, 2000. 384 с.

[17] Uotermen D. Rukovodstvo po e`kspertny`m sistemam. Moscow: Mir; 1989. (In Russ.)

[18] Уотермен Д. Руководство по экспертным системам. М.: Мир, 1989. 388 с.

[19] Dzhekson P, Piter P. Vvedenie v e`kspertny`e sistemy`. Moscow: Vil`yams; 2001. (In Russ.)

[20] Джексон П., Питер П. Введение в экспертные системы. М.: Вильямс, 2001. 393 с.

[21] Predstavlenie i ispol`zovanie znanij. Ed. by X. Ue`no, M. Isidzuka. Moscow: Mir; 1989. (In Russ.)

[22] Представление и использование знаний / Под ред. Х. Уэно, М. Исидзука. М.: Мир, 1989. 220 с.

[23] Kazancev AP. Differencial`naya diagnostika infekcionny`x boleznej. Moscow: MIA; 1999. 482 p. (In Russ.)

[24] Казанцев А.П., Зубик Т.М. Дифференциальная диагностика инфекционных болезней. М.: МИА, 1999. 482 с.

[25] Lezhenko A. On the Methods of Formalization of the Information Treads and Data Processing in Integrated Information and Telecommunication Technologies. 8th Multi-Conference on Systemic. Cybernetics and Informatics (SCI 2004). Orlando, Florida, USA; 2004. P. 180–185.

[26] Lezhenko A. On the Methods of Formalization of the Information Treads and Data Processing in Integrated Information and Telecommunication Technologies. 8th Multi-Conference on Systemic, Cybernetics and Informatics (SCI 2004). Orlando, Florida, USA, 2004. P. 180–185.

[27] Mizumoto M, Gupta MM, Ragade RK, Yage RR. Some methods of fuzzy reasoning. Advances in Fuzzy Set Theory Applications. North-Holland, Amsterdam. 1979;253–283.

[28] Mizumoto M., Gupta M.M., Ragade R.K., Yage R.R. Some methods of fuzzy reasoning. Advances in Fuzzy Set Theory Applications. North-Holland, Amsterdam, 1979. P. 253–283.

[29] Kumar A. Dr. Sanjay Kumar Study and Analysis of MYCIN expert system. International Journal of Engineering and Computer Sience. 2015;4(10):14861–14865.

[30] Kumar A. Dr. Sanjay Kumar Study and Analysis of MYCIN expert system // International Journal of Engineering and Computer Sience. 2015. Vol. 4, No. 10. P. 14861–14865.

[31] Buchanan BG, Shortliffe EH. Rule-based Expert Systems: The МYСIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley. Reading, MA; 1984.

[32] Buchanan B.G., Shortliffe E.H. Rule-based Expert Systems: The МYСIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley. Reading, MA, 1984.

[33] Ambalov YuM. Algoritm provedeniya differencial`noj diagnostiki. Yu.M. Ambalov. Uspexi sovremennogo estestvoznaniya. 2003;8:34–34. (In Russ.)

[34] Амбалов Ю.М. Алгоритм проведения дифференциальной диагностики // Успехи современного естествознания. 2003. № 8. С. 34–34.

[35] Serobabov AS, et al. Razrabotka e`kspertnoj sistemy` rannej diagnostiki zabolevanij: programmny`e sredstva pervichnoj obrabotki i vy`yavlenie zavisimostej. Omskij nauchn. vestn. 2018;4(160):179–184. (In Russ.)

[36] Серобабов А.С., и др. Разработка экспертной системы ранней диагностики заболеваний: программные средства первичной обработки и выявление зависимостей // Омский научный вестник. 2018. № 4 (160). С. 179–184.

RIGHTS & PERMISSIONS

Kotiv B.N., Budko I.A., Ivanov I.A., Trosko I.U.