Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review

2018 ◽  
Vol 52 (4) ◽  
pp. 2685-2704 ◽  
Author(s):  
Jaleh Shoshtarian Malak ◽  
Hojjat Zeraati ◽  
Fatemeh Sadat Nayeri ◽  
Reza Safdari ◽  
Azimeh Danesh Shahraki
2014 ◽  
Vol 24 (1) ◽  
Author(s):  
Patricia Matui ◽  
Jeremy C Wyatt ◽  
Hilary Pinnock ◽  
Aziz Sheikh ◽  
Susannah McLean

2018 ◽  
Vol 39 (1) ◽  
pp. 10-15
Author(s):  
A. A. Litvin

This paper is a systematic review of the literature on the use of intelligent medical systems in the diagnosis and treatment of acute inflammatory pancreatic diseases. The author provides modern literature data on the efficacy of decision support systems based on artificial neural networks to determine the severity, diagnosis and outcome prognosis of pancreatitis and complications.


2021 ◽  
Author(s):  
Oleg Varlamov

Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.


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