Developing a fuzzy expert system for determining the levels of students' eHealth literacy (Preprint)

2019 ◽  
Author(s):  
Roghayeh Eskrootchi ◽  
Masoud Zavari ◽  
Chetan Kumar ◽  
Mohammadreza Alibeyk ◽  
Amir Ramezani
Keyword(s):  
Health Literacy ◽  
Expert System ◽  
Expert Systems ◽  
Rough Set Theory ◽  
Fuzzy Expert System ◽  
Ehealth Literacy ◽  
Significant Difference ◽  
Literacy Level ◽  
Electronic Health

BACKGROUND The concept of eHealth literacy refers to the ability of a person to access electronic health information, evaluate the information and apply the resulting knowledge in order to address or solve a health problem. In a society with higher levels of e-health literacy, health and aid in health care can be promoted by using electronic health tools. The first step of promoting eHealth literacy is to assess the current situation of society and determine its health literacy level. Although there are different methods for determination of the level of eHealth literacy in the existing studies, there is no way to measure the level of e-health literacy more precisely and realistically due to its subjective concept. OBJECTIVE This research aims to develop and implement a fuzzy expert system to determine the level of eHealth literacy. The system must be able to identify the weakness of students' e-health literacy in order to tailor services and information to the needs of the target group. In addition, the system could be a help for responsible organizations such as the Ministry of Health or the university to suggest intervention programs for improving the students' eHealth literacy based on the results. METHODS In this paper, different ways of measuring the individual’s literacy level were extracted. Due to the experts’ opinion, the Digital Health Literacy Instrument was selected and used to develop a rule-based fuzzy expert system to determine the levels of eHealth literacy. The reliability and validity of the expert system were evaluated based on the experts’ judgment and by asking for the participation of 50 students of Mashhad University of Medical Sciences. In order to decrease the calculation time and make the system easier to use, the fuzzy expert system was modified based on rough set theory, which caused a reduction in the number of rules from 300 to 159. RESULTS The comparison between the two fuzzy expert systems indicated that no significant difference was detected and both systems were succeeded in around 90% of the cases. CONCLUSIONS Determination of the levels of students’ electronic health literacy is a complex problem that includes uncertainty and inaccuracy. Due to the accuracy and agility of expert systems, it is recommended to use the fuzzy-rough expert system in order to overcome this problem.

scholarly journals Fuzzy Expert System for Earthquake Prediction in Western Himalayan Range

2020 ◽  
Vol 26 (3) ◽  
pp. 4-12
Author(s):  
Rabia Tehseen ◽  
Muhammad Shoaib Farooq ◽  
Adnan Abid
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Quantitative Determination ◽  
Earthquake Prediction ◽  
Rule Base ◽  
Fuzzy Expert System ◽  
Human Expert ◽  
Magnitude Scales ◽  
Earthquake Data

Fuzzy Expert System (FES) with application to earthquake prediction has been presented to reproduce the performance of a human expert in earthquake prediction using expert systems. This research aims to predict future earthquakes having a magnitude 5.5 or greater. Previous earthquake data from 2000 to 2019 have been collected for this purpose. Since the earthquake data for the specified region have been reported on different magnitude scales, suitable relationships were determined to obtain uniform data. The uniform data have been used to calculate seismicity indicators according to the guidelines provided by Gutenberg-Richter’s scale for quantitative determination of earthquake features. The relationships among these seismic indicators have been used by the human expert to set the rule base of Fuzzy expert system. These rules have been mathematically validated and tested on instrumentally recorded earthquake data. The results obtained from the proposed FES presented 47 % accuracy in predicting future earthquakes that may occur in the 100 km radial area from 34.708 ° N, 72.5478 ° E.

scholarly journals Hybrid categorical expert system for the use in content aggregation

2021 ◽  
pp. 1-22
Author(s):  
Denis Aleksandrovich Kiryanov
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Main Category ◽  
Aggregated Data ◽  
Advantages And Disadvantages ◽  
Spam Filter ◽  
Hybrid Solutions ◽  
The Cost ◽  
Use Of Knowledge

The subject of this research is the development of the architecture of expert system for distributed content aggregation system, the main purpose of which is the categorization of aggregated data. The author examines the advantages and disadvantages of expert systems, toolset for development of expert systems, classification of expert systems, as well as application of expert systems for categorization of data. Special attention is given to the description of architecture of the proposed expert system, which consists of spam filter, component for determination of the main category for each type of the processed content, and components for determination of subcategories, one of which is based on the domain rules, and the other uses the methods of machine learning methods and complements the first one. The conclusion is made that expert system can be effectively applied for solution of the problems of categorization of data in the content aggregation systems. The author establishes that hybrid solutions, which combine an approach based on the use of knowledge base and rules with implementation of neural networks allow reducing the cost of the expert system. The novelty of this research lies in the proposed architecture of the system, which is easily extensible and adaptable to workloads by scaling existing modules or adding new ones. The proposed module for spam detection leans on adapting the behavioral algorithm for detecting spam in emails; the proposed module for determination of the key categories of content uses two types of algorithms: fuzzy fingerprints and Twitter topic fuzzy fingerprints that was initially applied for categorization of messages in the social network Twitter. The module that determine subcategory based on the keywords functions in interaction with the thesaurus database. The latter classifier uses the reference vector algorithm for the final determination of subcategories.

On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

2010 ◽  
Vol 5 (3) ◽  
pp. 14-26
Author(s):  
Oladipupo O. Olufunke ◽  
Uwadia O. Charles ◽  
Ayo K. Charles
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Expert System ◽  
Boundary Problem ◽  
System Approach ◽  
Disease Risk ◽  
Fuzzy Expert System ◽  
Sharp Boundary ◽  
Rule Based

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

scholarly journals The Measurements and an Elaborated Understanding of Chinese eHealth Literacy (C-eHEALS) in Chronic Patients in China

2018 ◽  
Vol 15 (7) ◽  
pp. 1553 ◽  
Author(s):  
Angela Chang ◽  
Peter Schulz
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Health Care Providers ◽  
Computer Literacy ◽  
Strong Association ◽  
Care Providers ◽  
Chronic Patients ◽  
Online Questionnaire ◽  
Ehealth Literacy ◽  
Electronic Health

The rapid rise of Internet-based technologies to disseminate health information and services has been shown to enhance online health information acquisition. A Chinese version of the electronic health literacy scale (C-eHEALS) was developed to measure patients’ combined knowledge and perceived skills at finding and applying electronic health information to health problems. A valid sample of 352 interviewees responded to the online questionnaire, and their responses were analyzed. The C-eHEALS, by showing high internal consistency and predictive validity, is an effective screening tool for detecting levels of health literacy in clinical settings. Individuals’ sociodemographic status, perceived health status, and level of health literacy were identified for describing technology users’ characteristics. A strong association between eHealth literacy level, media information use, and computer literacy was found. The emphasis of face-to-face inquiry for obtaining health information was important in the low eHealth literacy group while Internet-based technologies crucially affected decision-making skills in the high eHealth literacy group. This information is timely because it implies that health care providers can use the C-eHEALS to screen eHealth literacy skills and empower patients with chronic diseases with online resources.

Fuzzy expert system to determine stream water quality classification from ecological information

1997 ◽  
Vol 36 (12) ◽  
pp. 199-206 ◽  
Author(s):  
H. K. Lee ◽  
K. D. Oh ◽  
D. H. Park ◽  
J. H. Jung ◽  
S. J. Yoon
Keyword(s):  
Water Quality ◽  
Expert System ◽  
Stream Water ◽  
Water Quality Management ◽  
Fuzzy Expert System ◽  
Stream Water Quality ◽  
Ecological Information ◽  
Quality Classification ◽  
Water Quality Classification

Water quality classification for stream has been major tool for water quality management in Korea. This paper examines the application of the fuzzy inference mechanism to develop a fuzzy expert system for proper determination of WQCS from uncertain and imprecise ecological information. This study proposes a rule matrix composed of seven water quality grades, toxicity of water and rarity of cases. From this rule matrix, 30 rules for WQCS determination are generated. From the comparison of performance of the fuzzy expert system and the conventional expert system for the determination of class, toxicity, and rarity, it seems that the smoothly varying curves of WQCS determination from the fuzzy expert system represent our real-world experience more realistically than stepwise curves from the conventional expert system.

scholarly journals Implementation constraints and opportunities in developing expert system solutions for diagnosis of common diseases found in Taraba State

2018 ◽  
Vol 4 (3) ◽  
pp. 18
Author(s):  
Aliyu Sani Ahmad
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Clinical Observation ◽  
Fuzzy Expert System ◽  
Medical Field ◽  
Common Diseases ◽  
Information And Communication

Digital age has reform decision making especially in medical field through information and communication technology which become inevitable part of our lives. this paper illustrates the implementation constraint that encompasses developing Fuzzy Expert System (FES) for diagnosis of common diseases usually found in Taraba State. The paper, shows how fuzzy expert works through four distinct phases. It is discovered that the ratio of doctors to patients and the ratio of hospitals to doctors in Taraba is too low. Different literature that discussed how expert systems for diagnosing various diseases were reviewed; Interview, clinical observation, asking question and internet services were used as methodology for accomplishing this paper.  Result were illustrated and finally conclusion was drowned which shows that e-medical solution for diagnosing disease would do well in Taraba because of the opportunities it offers but it loaded with challenges and implementation constraint.

scholarly journals Application of Fuzzy Expert System in Determination of MMPI-2 Protocol Code Type

2018 ◽  
Vol 7 (2) ◽  
pp. 4-9
Author(s):  
Pavel Škobrtal ◽  
Iveta Bebčáková ◽  
Jana Talašová
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Code Type

scholarly journals Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function

2021 ◽  
Vol 18 (23) ◽  
pp. 12528
Author(s):  
Elena Castarlenas ◽  
Elisabet Sánchez-Rodríguez ◽  
Rubén Roy ◽  
Catarina Tomé-Pires ◽  
Ester Solé ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Health Literacy ◽  
Self Efficacy ◽  
Literacy Skills ◽  
Pain Interference ◽  
The Internet ◽  
Online Information ◽  
Ehealth Literacy ◽  
Electronic Health ◽  
The Relationship

Electronic health literacy skills and competences are important for empowering people to have an active role in making appropriate health care decisions. The aims of this cross-sectional study were to (1) examine the frequency of use of the Internet for seeking online information about chronic pain, (2) determine the level of eHealth literacy skills in the study sample, (3) identify the factors most closely associated with higher levels of eHealth literacy, and (4) examine self-efficacy as a potential mediator of the association between eHealth literacy and measures of pain and function in a sample of adults with chronic pain. One-hundred and sixty-one adults with chronic pain completed measures assessing internet use, eHealth literacy, pain interference, anxiety, depression, and pain-related self-efficacy. Results indicated that 70% of the participants are active users of the Internet for seeking information related to their health. The level of eHealth literacy skills was not statistically significantly associated with participants’ age or pain interference but was significantly negatively associated with both anxiety and depression. In addition, the findings showed that self-efficacy fully explained the relationship between eHealth literacy and depression and partially explained the relationship between eHealth literacy and anxiety. Self-efficacy should be considered as a treatment target in eHealth literacy interventions, due to its role in explaining the potential benefits of eHealth literacy.

On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

2012 ◽  
pp. 112-124
Author(s):  
Oladipupo O. Olufunke ◽  
Uwadia O. Charles ◽  
Ayo K. Charles
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Expert System ◽  
Boundary Problem ◽  
System Approach ◽  
Disease Risk ◽  
Fuzzy Expert System ◽  
Sharp Boundary ◽  
Rule Based

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

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