scholarly journals CLASSIFICATION OF MULTIDIMENSIONAL POLARIZATION MICROSCOPY RESULTS IN THE TECHNOLOGY OF FORENSIC INTELLECTUAL MONITORING OF HEART DISEASES

2020 ◽  
Vol 10 (1) ◽  
pp. 82-86
Author(s):  
Oleg Vanchulyak ◽  
Serhii Golub ◽  
Mariia Talakh ◽  
Vyacheslav Gantyuk
Keyword(s):  
Intelligent Systems ◽  
Heart Diseases ◽  
Statistical Processing ◽  
Polarization Microscopy ◽  
Medical Monitoring ◽  
Coronary Insufficiency ◽  
Acute Coronary Insufficiency ◽  
Ellipticity Of Polarization ◽  
Multi Level

The work combines methods of multidimensional polarization microscopy, statistical processing of data and inductive modeling with the purpose of constructing a methodology for creation of intelligent systems for multi-level forensic medical monitoring based on the example of the post-mortem diagnosis of coronary heart disease and acute coronary insufficiency. The task of classifying the results of the study of biological materials for obtaining a diagnosis was solved. To obtain informative features, a model of biological tissue of the myocardium was developed and the main diagnostic parameters were determined (statistical moments of 1–4 orders of coordinate distributions of the values of azimuths and the ellipticity of polarization and their autocorrelation functions, as well as wavelet coefficients of the corresponding distributions), which are dynamic due to its necrotic changes. The classification of these data was provided by constructing a deciding rule in the multi – raw algorithm of the GMDH. The effectiveness of the described methodology has been experimentally proved.

scholarly journals Genetic and epigenetic mechanisms in the development of congenital heart diseases

2021 ◽  
Vol 4 (2) ◽  
pp. e000196
Author(s):  
Yue Wu ◽  
Xiaosi Jin ◽  
Yuhao Zhang ◽  
Jing Zheng ◽  
Rulai Yang
Keyword(s):  
Congenital Heart ◽  
Heart Diseases ◽  
Gene Mutations ◽  
Morbidity And Mortality ◽  
Molecular Medicine ◽  
Epigenetic Mechanisms ◽  
Epigenetic Factors ◽  
Near Future

Congenital heart disease (CHD) is the most common of congenital cardiovascular malformations associated with birth defects, and it results in significant morbidity and mortality worldwide. The classification of CHD is still elusive owing to the complex pathogenesis of CHD. Advances in molecular medicine have revealed the genetic basis of some heart anomalies. Genes associated with CHD might be modulated by various epigenetic factors. Thus, the genetic and epigenetic factors are gradually accepted as important triggers in the pathogenesis of CHD. However, few literatures have comprehensively elaborated the genetic and epigenetic mechanisms of CHD. This review focuses on the etiology of CHD from genetics and epigenetics to discuss the role of these factors in the development of CHD. The interactions between genetic and epigenetic in the pathogenesis of CHD are also elaborated. Chromosome abnormalities and gene mutations in genetics, and DNA methylations, histone modifications and on-coding RNAs in epigenetics are summarized in detail. We hope the summative knowledge of these etiologies may be useful for improved diagnosis and further elucidation of CHD so that morbidity and mortality of children with CHD can be reduced in the near future.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

Pulmonary Embolism: A Precipitating Factor of Acute Coronary Insufficiency

1949 ◽  
Vol 15 (1) ◽  
pp. 72-82 ◽  
Author(s):  
SIMON DACK ◽  
JACOB STONE ◽  
DAVID H. PALEY ◽  
ARTHUR M. MASTER
Keyword(s):  
Pulmonary Embolism ◽  
Coronary Insufficiency ◽  
Acute Coronary Insufficiency ◽  
Precipitating Factor

Multi-level Modeling and Cooperation Mechanisms of Tasks for Swarm Intelligent Systems

2021 ◽  
Author(s):  
Peng Li ◽  
Wenwen Fu ◽  
Hongjun You ◽  
Yuxi Liu ◽  
Zhihao Wu ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Multi Level

Evaluation of Decision-Making Support Systems

2011 ◽  
pp. 131-140
Author(s):  
Gloria E Phillips-Wren ◽  
Manuel Mora ◽  
Guisseppi Forgionne
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Support Systems ◽  
The Internet ◽  
Dynamic Data ◽  
Human Decision ◽  
Broad Classification ◽  
Specific Contribution ◽  
Decision Making Support

Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing environment (Sprague & Watson, 1996; Turban & Aronson, 1998). Newer intelligent systems, enabled by the advent of the Internet combined with artificial-intelligence (AI) techniques, have extended the reach of DSSs to assist with decisions in real time with multiple informaftion flows and dynamic data across geographical boundaries. All of these systems can be grouped under the broad classification of decision-making support systems (DMSS) and aim to improve human decision making. A DMSS in combination with the human DM can produce better decisions by, for example (Holsapple & Whinston, 1996), supplementing the DM’s abilities; aiding one or more of Simon’s (1997) phases of intelligence, design, and choice in decision making; facilitating problem solving; assisting with unstructured or semistructured problems (Keen & Scott Morton, 1978); providing expert guidance; and managing knowledge. Yet, the specific contribution of a DMSS toward improving decisions remains difficult to quantify.

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