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Laszlo Barna Iantovics

Laszlo Barna Iantovics
"George Emil Palade" University of Medicine, Pharmacy, Sciences and Technology of Targu Mures · Electrical Engineering and Information Technology

Professor
Analysis of research data in healthcare using methods based on biostatistics, artificial intelligence and data science

About

91
Publications
23,668
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529
Citations
Citations since 2017
49 Research Items
401 Citations
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2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080

Publications

Publications (91)
Chapter
Measuring the machine intelligence quotient (MIQ) of intelligent agent-based systems (IABSs) is very important based on the increasing number of intelligent systems applied to real-life problem solving. The most important property of an intelligence metric must be its universality. Developing universal intelligence metrics is difficult based on the...
Article
Full-text available
At the end of any orthodontic treatment, retention is a necessary phase. Unfortunately, the current retention devices and the lack of proper oral hygiene on the part of patients lead to the accumulation of dental plaque, periodontal inflammation, and gingival retraction. Our retrospective study included 116 adult patients wearing various types of o...
Article
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Predictive methods represent techniques commonly met in Industry 4.0 that offer a way to early predict or detect faults of machines, devices or tools. This is useful to anticipate failures with the main goal of improving maintenance planning. Making such predictions could decrease the unexpected malfunction operation or manufacturing downtime and c...
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Abstract: In the search of theoretical models describing cancer, one of promising directions is chaos. It is connected to ideas of “genome chaos” and “life on the edge of chaos”, but they profoundly differ in the meaning of the term “chaos”. To build any coherent models, notions used by both ideas should be firstly brought closer. The hypothesis “l...
Article
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Sometimes it is difficult, or even impossible, to acquire real data from sensors and machines that must be used in research. Such examples are the modern industrial platforms that frequently are reticent to share data. In such situations, the only option is to work with synthetic data obtained by simulation. Regarding simulated data, a limitation c...
Article
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The current COVID-19 pandemic affects healthcare worldwide. Patients living with cardiac implantable electronic devices (CIEDs) are at high-risk to experience emotional distress and severe COVID-19 symptoms. Assessing their mental and physical health condition during the pandemic is crucial. An online questionnaire consisting of 45 multiple-choice...
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Up until now, studies of Kauffman network stability have focused on the conditions resulting from the structure of the network. Negative feedbacks have been modeled as ice (nodes that do not change their state) in an ordered phase but this blocks the possibility of breaking out of the range of correct operation. This first, very simplified approxim...
Article
Multe probleme de diagnostic medical, cum ar fi bolile rare și comorbiditățile, presupun diferite tipuri de dificultăți pentru medicii. Unele dintre astfel de dificultăți pot fi rezolvate de sistemele clinice de suport a deciziilor medicale (SCSM), care folosind diverse metode bazate pe inteligență artificială pot efectua diferite prelucrări și ana...
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Many medical diagnosis problems, like rare illnesses and comorbidities, have different kinds of difficulties for medical doctors. Some such difficulties can be handled by clinical decision support systems (CDSSs) that using diverse methods based on artificial intelligence can make useful analyses and processing of clinical data. This paper presents...
Conference Paper
The aim of the Social Network of machines (SOON) project is to investigate the impact of using of autonomous social agents to optimize manufacturing processes in the framework of Industry 4.0. In this article, we present the multi-agent SOON architecture and the built solutions aiming at optimizing the scheduling of tasks. Two different scheduling...
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This paper is related to several articles published in AXIOMS, SCI, etc. The main concepts of the current paper are the colored Yang–Baxter equation and the set-theoretical Yang–Baxter equation. The Euler formula, colagebra structures, and means play an important role in our study. We show that some new solutions for a certain system of equations l...
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The emergence of SARS-CoV-2 affected care both for acute and chronic health conditions. Majority of the patients with cardiac implantable electronic devices (CIEDs) have multiple comorbidities, which can influence their response to COVID-19. An online survey consisting of 45 multiple-choice question was designed for CIED patients assessing comorbid...
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Current machine intelligence metrics rely on a different philosophy, hindering their effective comparison. There is no standardization of what is machine intelligence and what should be measured to quantify it. In this study, we investigate the measurement of intelligence from the viewpoint of real-life difficult-problem-solving abilities, and we h...
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Book details Scott E. Page The Model Thinker: What You Need to Know to Make Data Work for You. Hatchett Book Group. 448 pages; ISBN-10: 0465094627; ISBN-13: 978-0465094622. 18.56 USD.
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One of the keys of enhancing the quality of electric power supply resides in the accuracy of the consumption metering. Nowadays development of the sensors, devices and systems for electricity metering offers the basis for this service. Nevertheless, this achievement in many situations is altered such that appropriate measures must be adopted even i...
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This paper focuses on the resilience of a nature-inspired class of algorithms. The issues related to resilience fall under a very wide umbrella. The uncertainties that we face in the world require the need of resilient systems in all domains. Software resilience is certainly of critical importance, due to the presence of software applications which...
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A new approach is presented for hierarchical decomposition of third‐order tensors through their transformation into the generalized three‐dimensional (3D) spectrum space based on the inverse difference pyramid (IDP). For this, we choose the 3D Walsh–Hadamard transform (3D‐WHT). As result, each tensor is represented as a spectral tensor of m hierarc...
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The weighted independent set problem on P5-free graphs has numerous applications,including data mining and dispatching in railways. The recognition of P5-free graphs is executed inpolynomial time. Many problems, such as chromatic number and dominating set, are NP-hard inthe class of P5-free graphs. The size of a minimum independent feedback vertex...
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A novel accurate and robust metric called II-Learn for measuring the increase of intelligence of a system after a learning process is proposed. We define evolving learning systems, as systems that are able to make at least one measurable evolutionary step by learning. To prove the effectiveness of the metric we performed a case study, using a learn...
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Intelligent agent-based systems are applied for many real-life difficult problem-solving tasks in domains like transport and healthcare. In the case of many classes of real-life difficult problems, it is important to make an efficient selection of the computing systems that are able to solve the problems very intelligently. The selection of the app...
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In this research, we define a specific type of performance of the intelligent agent-based systems (IABSs) in terms of a difficult problem-solving intelligence measure. Many studies present the successful application of intelligent cooperative multiagent systems (ICMASs) for efficient, flexible and robust solving of difficult real-life problems. Bas...
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A smart grid can be considered as a complex network where each node represents a generation unit or a consumer, whereas links can be used to represent transmission lines. One way to study complex systems is by using the agent-based modeling paradigm. The agent-based modeling is a way of representing a complex system of autonomous agents interacting...
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Man does the studying of systems by modelling it. Examining parameters which are describing the operation of the system is important when creating the model. The parameters required for the test are retained and the irrelevant parameters are discarded. The remainder of the model determines the aspect system of the examination. The system can be tes...
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In many types of researches and studies including those performed by the sciences of agriculture and plant sciences, large quantities of data are frequently obtained that must be analyzed using different data mining techniques. Sometimes data mining involves the application of different methods of statistical data analysis. Exploratory Factor Analy...
Chapter
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“Cyber-Physical Systems or “smart” systems are co-engineered interacting networks of physical and computational components. These systems will provide the foundation of our critical infrastructure, form the basis of emerging and future smart services, and improve our quality of life in many areas.” (National Institute of Standards and Technology: C...
Article
Nowadays, routing problems arise in different contexts of distribution of goods, transportation of commodities and people. Routing problems deals with traveling along a given network in an optimal way. One of the major goals in optimization, including optimization of routing problems, is to reduce the time of stagnation by finding an exit state. Th...
Article
Nowadays, routing problems arise in different contexts of distribution of goods, transportation of commodities and people. Routing problems deals with traveling along a given network in an optimal way. One of the major goals in optimization, including optimization of routing problems, is to reduce the time of stagnation by finding an exit state. Th...
Article
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Intelligent Transportation Systems (ITSs) are providing a broad range of services to all the actors involved in any type of transportation activities. Path planning is a common transportation problem, which can be extremely difficult when an exact solution is sought. The quality of heuristic approaches to this problem is therefore important, as the...
Article
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The Symmetric Traveling Salesman Problem (sTSP) is an intensively studied NP-hard problem. It has many important real-life applications such as logistics, planning, manufacturing of microchips and DNA sequencing. In this paper we propose a cluster level incremental tour construction method called Intra-cluster Refinement Heuristic (IntraClusTSP). T...
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Experimental evaluation of the cooperative multiagent systems (CMASs) provides an assessment way that should be analysed. In this paper, we propose an algorithm with acronym CoopRA that can make a deep performance characterization, based on different indicators, of the experimental evaluation results of a CMAS. This could lead to the formulation of...
Article
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BACKGROUND: this paper is based upon work from COST Action ICSHNet. Health risks related to living close to industrially contaminated sites (ICSs) are a public concern. Toxicology-based risk assessment of single contaminants is the main approach to assess health risks, but epidemiological studies which investigate the relationships between exposure...
Article
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Many difficult problems, from the philosophy of computation point of view, could require computing systems that have some kind of intelligence in order to be solved. Recently, we have seen a large number of artificial intelligent systems used in a number of scientific, technical and social domains. Usage of such an approach often has a focus on hea...
Article
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The present article focuses on the research and development planning for innovative railway systems. Within such a general framework, the specific objectives of the research have been defined within the framework of a large Intelligent Railway System project in Hungary. Our theoretical research work at the university is combined with practical expe...
Article
In this paper, we propose a novel metric called MetrIntPair (Metric for Pairwise Intelligence Comparison of Agent-Based Systems) for comparison of two cooperative multiagent systems problem-solving intelligence. MetrIntPair is able to make an accurate comparison by taking into consideration the variability in intelligence in problem-solving. The me...
Article
Phytoremediation represents an efficient ecological solution for treating the polluted soils through the use of plants. This is a passive process, with low costs, appropriate for the limitation of the risk of hazardous wastes in the case of in-depth contaminated soil. This paper presents a research with a novel result on soil remediation through ph...
Chapter
The development of automatic tumor detection and segmentation procedures enables the computers to preprocess huge sets of MRI records and draw the attention of medical staff upon suspected positive cases. This paper proposes a machine learning solution based on binary decision trees and random forest technique, trained to provide accurate segmentat...
Article
Full-text available
Intelligent cooperative multiagent systems are applied for solving a large range of real-life problems, including in domains like biology and healthcare. There are very few metrics able to make an effective smeasure of the machine intelligence quotient. The most important drawbacks of the designed metrics presented in the scientific literature cons...
Conference Paper
Many medical diagnosis problems (MDPs) are difficult to be solved by physicians. Frequently, the difficult MDPs solving by physicians require the assistance of the medical computing systems, which many times should be intelligent. Many papers presented in the specialized literature prove, that the intelligence of a system (frequently agent-based) c...
Conference Paper
Many real-life difficult problems imply more than one optimization criterion and often require multiobjective optimization techniques. Among these techniques, nature-inspired algorithms, for instance, evolutionary algorithms, mimic various natural process and systems and succeed to perform appropriately for hard optimization problems. Besides, in c...
Conference Paper
The increased intelligence of a computing system could allow more efficient and/or flexible and/or accurate solving of problems with different difficulties like: NP-hard problems, problems that have missing or erroneous data etc. We consider that even if there is no unanimous definition of the systems’ intelligence, the machine intelligence could b...
Article
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Recently, we have witnessed an infusion of calculating models based on models offered by nature, models with more or less fidelity to the original that have led to the development of various problem-solving computational procedures. Starting from the observation of natural processes at the macroscopic or microscopic level, various methods have been...
Article
We propose a novel metric called MetrIntMeas (Metric for the Intelligence Measuring) for an accurate and robust measurement of the difficult problem-solving intelligence of a swarm system. The metric allows the classification if a swarm system belongs to the same class with the systems which have a specific reference intelligence value. For proving...
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Cooperative multiagent systems are used for solving many computational hard problems. In the scientific literature, the intelligence of cooperative multiagent systems is considered at the systems’ level and is based on the “intelligent problem solving” consideration (highly efficient and flexible problems solving; difficult problem solving, with mi...
Article
An integrated library information system is a resource planning system for a library, used to track resources owned, bills paid, orders made, and patrons who have borrowed. In our research, we focused on university library information systems (ULISs). We identified an important research question regarding their main limitation in offering intellige...
Article
Background: Swarm systems are used for many difficult, even NP-hard problems solving. In the scientific literature, the swarm systems intelligence is mostly considered at the swarm level and it is based on some considerations, like autonomous learning, self-adaptation, evolution and efficient and flexible problems solving. It were identified as a n...
Conference Paper
A novel concept of intelligence called “societal intelligence” and its related architecture for solving complex problems are introduced. The idea is based on what we consider on the “intelligence of human society”. For illustrative purposes, a case study is realized, which involves the solution of a difficult problem in a societal multi-agent syste...
Conference Paper
The aim of this study was to establish a multi-stage fuzzy c-means (FCM) framework for the automatic and accurate detection of brain tumors from multimodal 3D magnetic resonance image data. The proposed algorithm uses prior information at two points of the execution: (1) the clusters of voxels produced by FCM are classified as possibly tumorous and...
Conference Paper
This paper gives a brief overview on the Romanian contaminated sites and an insight into the nature of the related issues, by means of a case study, i.e., Roșia Montana gold mining project. According to the National Plan, the number of contaminated/potentially contaminated sites, presently known in Romania, is 1393 (210 are reported as contaminated...
Article
Electronic Fetal Monitoring (EFM) records fetal heart rate in order to assess fetal well being in labor. Since its suggestion in clinical practise by de Kergeradee in the nineteenth century, it has been adopted as standard medical practise in many delivery scenarios across the globe. The extent of its use has augmented from its original purpose and...
Article
Intelligent systems are used for many difficult problems solving, like: clinical decision support, health status monitoring of humans etc. The intelligence could give to a system advantages versus a system that does not have intelligence. Software mobile agents as network-computing technology has been applied for various distributed problems solvin...
Article
Full-text available
The objective of this study was to test the stability of pentoxifylline in experimental formulations based on lipophilic matrix. In order to achieve this, we studied the influence of heat stress on the stability of the proposed formulations, by keeping the product samples at high temperatures and humidity, in a stability chamber, during periods las...
Article
Agent-based techniques are important in analyzing, designing and building complex software systems. Agents could extend other develop- ments with capacities that make them more appropriate to the purpose of their creation. For example, we mention agents that extend the medical expert systems with increased communication and cooperation capacity. Ma...
Article
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Development of computational systems that intelligently can solve problems represents an important research direction. Many results described in the literature prove, that the intelligence of a computational system can offer advantages in the problems solv- ing versus a system that does not have intelligence. The adaptation is considered to be an i...
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. In this paper we give a recognition algorithm in O(n(n + m)) time for bipartite chain graphs, and directly calculate the density of such graphs. For their stability number and domination number, we give algorithms comparable to the existing ones. We point out some applications of bipartite chain graphs in chemistry and approach the Minimum Chain...
Article
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Graph theory provides algorithms and tools to handle models for important applications in biology and medicine, such as drug design, diagnosis, or visualization. This paper deals with some theoretical results concerning the relationship between two classes of graphs which may be susceptible of applications in medicine and intelligent systems. The c...
Book
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This volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various ki...
Article
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Many difficult problem solving require computational intelligence. One of the major directions in artificial intelligence consists in the development of efficient computational intelligence algorithms, like: evolutionary algorithms, and neural networks. Systems, that operate in isolation or cooperate with each other, like mobile robots could use co...
Article
The traveling salesman problem (TSP) has many applications in economy, transport logic [1] etc. It also has a wide range of applicability in the mobile robot path planning optimization [2]. The paper presents research result of solving the path planning subproblem of the navigation of an intelligent autonomous mobile robotic agent. Collecting objec...
Article
Full-text available
The objective of this study is to test new formulations, regarding modified release tablets containing pentoxifylline, obtained by technological modulation of the drug release from tablets. Precirol AT 05 in different ratios was used as a lipophilic matrix agent; pentoxifylline incorporation in the matrix has been carried out by granulation followe...
Article
Full-text available
In the paper is presented one new approach for creation and management of medical image databases with multi-layer access, based on the Inverse Pyramid Decomposition (IPD). The archived visual data is compressed using the special IDP format, presented in detail in this paper. The new approach offers flexible tools for multi-layer transfer of the pr...
Conference Paper
Full-text available
In the paper is presented one new approach for management of medical databases with multi-layer access, based on the Inverse Pyramid Decomposition. This decomposition offers the ability for the development of interactive tools for multi-layer transfer of the processed visual information with consecutively quality improvement, selection of regions o...
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The primary aim of this special issue entitled Advances in Applied Sciences was to make some preparative steps by collecting state of the art research papers necessary in the beginning of the project entitled “Electronic Health Records for the Next Generation Medical Decision Support in Romanian and Bulgarian National Healthcare Systems” abbreviate...
Article
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The paper investigates the cognitive complexity associated with the design of group decision processes (GDP) in relation with some basic contextual factors such us task complexity, users' creativity and problem space complexity. The analysis is done by conducting a socio-simulation experiment for an envisioned software tool that acts as collaborati...
Article
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The quantum Yang-Baxter equation ¯rst appeared in theoretical physics and statistical mechanics. Afterwards, it has proved to be important also in knot theory, quantum groups, etc. This paper deals with the (colored) Yang-Baxter equation and computational methods. A new result about the set-theoretical Yang-Baxter equation is presented.
Article
Full-text available
The paper investigates for some basic contextual factors (such us the problem complexity, the users' creativity and the problem space complexity) the cognitive complexity associated with modelling the group decision processes (GDP) in e-meetings. The analysis is done by conducting a socio-simulation experiment for an envisioned collaborative softwa...
Article
Solving a problem with a neural network a primordial task is establishing the network topology. Generally neural network topology determination is a complex problem and cannot be easily solved. When the number of trainable layers and processor units is too low, the network is not able to learn the proposed problem. When the number of layers and neu...
Article
ACS (Ant Colony System) algorithms have been used in solving NP-hard and optimization problems in recent years. ACS ant colonies are homogeneous, but natural ant colonies are heterogeneous. In this paper, a new ACS algorithm is proposed based on this reality. It uses heterogeneous ant colonies which are evolved using a new type of genetic algorithm...