• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• ETRI Journal
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• 제36권5호
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• pp.730-740
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• 2014

The rapid increase in the number of patients with chronic diseases is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A patient with a chronic disease conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for chronic disease patients, we propose a service flow and a new cloud-based personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various chronic disease care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment.

• 한국보건간호학회지
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• 제31권1호
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• pp.121-134
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• 2017

Purpose: The goal of this study was to define and clarify the concept of "self management" of children with chronic diseases. Methods: For analyzing the concept of self management, this study used the hybrid model. This study involved in-depth interviewing nine children with chronic disease. Results: The concept of self management of children with chronic disease can be categorized with three dimensions: internal, environmental, and behavioral aspects. Besides, five attributes and thirteen indicators were analyzed. The concept of self management of children with chronic disease can be expressed as a kind of process; a) re-established yourself (internal dimension), b) assistance by the surrounded (environmental dimension), and c) positive health management behavior with self control of daily life (behavioral dimension). Conclusion: The self management is important for children with chronic disease to control their disease for long time. The attributes and indicators drawn by this study could be used for tool development and useful resources of self management competence in children with chronic disease.

• 한국응용약물학회:학술대회논문집
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• 한국응용약물학회 2008년도 Proceedings of the Convention
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• pp.49-52
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• 2008

Parkinson's disease is characterized by motor disturbances and dopaminergic neurodegeneration. parkin and PINK1, two most critical Parkinson's disease-associated genes, have been intensively studied to address the underlying molecular pathogenesis of the disease, but our understanding still remains unclear. Through generation and characterization of Drosophila mutants for PINK1, we show that PINK1 is required for mitochondrial integrity and function in both indirect flight muscles and dopaminergic neurons. Surprisingly, we find that PINK1 mutants share striking phenotypic similarities with parkin mutants. Indeed, transgenic expression of parkin dramatically ameliorates all PINK1 loss-of-function phenotypes, but not vice versa, implicating that Parkin acts downstream of PINK1 in maintaining mitochondrial integrity and function in both muscles and dopaminergic neurons. With the establishment of the PINK1-Parkin pathway, we are trying to further investigate the detailed molecular relationship between PINK1 and Parkin using both mammalian dopaminergic neuronal cells for biochemical analysis and Drosophila model animal for genetic analysis. We believe that elucidating the molecular function of Parkinson's disease-associated genes will be of big help for the ultimate understanding of the pathogenic mechanism of this disease and also for the development of effective drugs for Parkinson's disease.

• 대한소아치과학회지
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• 제24권1호
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.229-238
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• 2021

The article applies the ECM - ARDL model to examine the relationship between economic indicators and the existence of the disease in the long run of 10 ASEAN countries from 2000 to 2019. There are two models: The first model investigates the impact of GDP per capita, net inflow FDI, unemployment rate, and inflation rate on the proportion of export to GDP of ASEAN countries, the second model is similar to the first one but adds one more variable to the independent variable list - 'the variable for disease'. The results prove the long-run effect of GDP per capita, FDI, unemployment and inflation rate on export of the selected countries, though individual country shows differences in the sign and magnitude of these impacts. Surprisingly, the number of people suffering from disease does not affect the export of all selected countries as expected. The results of the two models also indicate that the disequilibrium in the short run converges to the equilibrium in the long run with a high proportion, especially in the case of Cambodia and the Philippines, with the rate of 95.65% and 151.94%, respectively. The findings can be useful for policymakers in promulgating efficient policies to enhance the trading activities of the selected countries.

• Journal of applied mathematics & informatics
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• 제38권5_6호
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• pp.375-406
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• 2020

The anti-predator factor due to fear of predator in eco- epidemiological models has a great importance and cannot be evaded. The present paper consists of a modified Lesli-Gower predator-prey model with contagious disease in the predator population only and also consider the fear effect in the prey population. Boundedness and positivity have been studied to ensure the eco-epidemiological model is well-behaved. The existence and stability conditions of all possible equilibria of the model have been studied thoroughly. Considering the fear constant as bifurcating parameter, the conditions for the existence of limit cycle under which the system admits a Hopf bifurcation are investigated. The detailed study for direction of Hopf bifurcation have been derived with the use of both the normal form and the central manifold theory. We observe that the increasing fear constant, not only reduce the prey density, but also stabilize the system from unstable to stable focus by excluding the existence of periodic solutions.

• East Asian mathematical journal
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• 제32권1호
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• pp.139-152
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• 2016

Inflammatory Bowel Disease(IBD) is chronic, relapsing, immune mediated disorder. The exact cause of IBD is still unknown. The immune system is known to play important role in the dynamics of IBD. We focus on relation between T cells and cytokines in immune system that leads to IBD. In this paper, we propose a mathematical model describing IBD under considering immune mediated disorder by using ordinary differential equations. The existence and stability of the model are established, where an applicable basin of attraction are calculated and examined. Some numerical simulations are presented to verify the proposed results and as changing parameter values given by sensitivity analysis, we show how to change dynamic behaviors of the model.

• The Plant Pathology Journal
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• 제35권3호
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• pp.189-199
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• 2019

In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structure and Tassel software. The results of microsatellite markers showed that the genetic structure of the studied population has three subpopulations (K=3) which the results of bar plat also confirmed it. In association analysis based on GLM and MLM models, 31 and 35 loci showed significant relationships with the evaluated traits, respectively, and confirmed considerable variation of the studied traits. The identified markers related to some of the studied traits were the same which can probably be due to pleiotropic effects or tight linkage among the genomic regions controlling these traits. Some of these relationships were including, the relationship between Sat_252 marker with amount of charcoal rot disease, Satt359, Satt190 and Sat_169 markers with number of microsclerota in stem, amount of charcoal rot disease and severity of charcoal rot disease, Sat_416 marker with number of microsclerota in stem and amount of charcoal rot disease and the Satt460 marker with number of microsclerota in stem and severity of charcoal rot disease. The results of this research and the linked microsatellite markers with the charcoal rot disease-related characteristics can be used to identify the suitable parents and to improve the soybean population in future breeding programs.

• 한국식품영양학회지
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• 제33권6호
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• pp.614-623
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• 2020

The objective of this study was to produce a nutrient delivery system (NDS) using sialic acid extracted from edible bird's nest (EBN), which improves brain function in patients with Alzheimer's disease and Parkinson's disease, by affinity bead technology (ABT). The inhibitory activity of acetylcholinesterase (AChE) and pyramidal cells in the dentate gyrus of the hippocampus were analyzed to investigate the effect of a sialic acid NDS on Alzheimer's disease. Also, the effect of a sialic acid NDS on Parkinson's disease was evaluated by rota-rod test and pole test in an animal model. Among the groups treated with donepezil, EBN, and sialic acid NDS, the AChE activity was the lowest in the sialic acid NDS-treated group. The results of the hippocampus analysis of the rat model confirmed that the sialic acid NDS inhibited amyloid-beta accumulation depending upon the concentration. Also, the sialic acid NDS group showed more improvement in motor deterioration than the1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced group in both the rota-rod test and pole test. Therefore, the sialic acid NDS had an effect of protecting not only Alzheimer's disease by inhibiting AChE and amyloid-beta accumulation, but Parkinson's disease by preventing neurotoxicity induced by MPTP.