2022
DOI: 10.35585/inspir.v12i2.5
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Analysis Of Themes and Trends in Life Sciences and Biomedical Research Virtual Reality

Abstract: The purpose of this study was to investigate the theme of the abstract, the theme of the Title on Virtual Reality in the Sciences and Biomedical Sciences and to investigate the trends of authors and countries who are major contributors to research on virtual reality in the sciences and biomedical sciences, the researchers used metadata from 497 journals. scientifically indexed with topic modeling algorithms. The results of the study found that for virtual reality themes listed in the abstracts of science and b… Show more

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“…There are several previous studies that are similar to this research, such as research entitled "Expert System Diagnoses Eye Diseases in Dogs Using Bayes' Theorem Method" by (Ramadhan et al, 2023), "Expert System for Detecting Computer Damage Using the Forward Chaining Method" by (Kusnadi et al, 2019), "Expert System Diagnoses Diseases in Humans Caused by Viruses Using the Web-Based Dempster Shafer Method" by (Agustian et al, 2023), "Expert System for Diagnosing Diseases in White Sea Bass Fish Based on Web" by (Laba, 2020), "Expert system application for diagnosing eye diseases using an Android-based fuzzy multi-criteria decision making method" by (Irawan & Ma'mur, 2023), "Designing an expert system application to diagnose human disease" by (Kusnadi, 2013), "Expert System to Determine Types of Diseases in Children Caused by Gadgets" by (Wilson, 2020), "Employee Recruitment Decision Support System Using Ahp-Topsis Method" by (Agusli et al, 2020), "A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making" by (Kaya et al, 2019), "Expert system application for diagnosing psychological disorders using the case based reasoning method using web-based CodeIgniter" by (Arifa & Yuswardi, 2022), "Design a learning stress prediction expert system using a backpropagation neural network algorithm" by (Kusnadi & Putra, 2015), "Application of a Web-Based Expert System for Disease Diagnosis in Baby Kailan Hydroponic Plants" by (Manik, 2022), and "Web-based expert system for diagnosing malaria, dengue fever and measles using a fuzzy multiple criteria decision making method" by (Hendrawaty et al, 2020), (Sahibu et al, 2022). However, in this research, there has been no research on the design of an expert system for predicting digestive diseases in dogs using fuzzy multi-criteria decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…There are several previous studies that are similar to this research, such as research entitled "Expert System Diagnoses Eye Diseases in Dogs Using Bayes' Theorem Method" by (Ramadhan et al, 2023), "Expert System for Detecting Computer Damage Using the Forward Chaining Method" by (Kusnadi et al, 2019), "Expert System Diagnoses Diseases in Humans Caused by Viruses Using the Web-Based Dempster Shafer Method" by (Agustian et al, 2023), "Expert System for Diagnosing Diseases in White Sea Bass Fish Based on Web" by (Laba, 2020), "Expert system application for diagnosing eye diseases using an Android-based fuzzy multi-criteria decision making method" by (Irawan & Ma'mur, 2023), "Designing an expert system application to diagnose human disease" by (Kusnadi, 2013), "Expert System to Determine Types of Diseases in Children Caused by Gadgets" by (Wilson, 2020), "Employee Recruitment Decision Support System Using Ahp-Topsis Method" by (Agusli et al, 2020), "A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making" by (Kaya et al, 2019), "Expert system application for diagnosing psychological disorders using the case based reasoning method using web-based CodeIgniter" by (Arifa & Yuswardi, 2022), "Design a learning stress prediction expert system using a backpropagation neural network algorithm" by (Kusnadi & Putra, 2015), "Application of a Web-Based Expert System for Disease Diagnosis in Baby Kailan Hydroponic Plants" by (Manik, 2022), and "Web-based expert system for diagnosing malaria, dengue fever and measles using a fuzzy multiple criteria decision making method" by (Hendrawaty et al, 2020), (Sahibu et al, 2022). However, in this research, there has been no research on the design of an expert system for predicting digestive diseases in dogs using fuzzy multi-criteria decision-making.…”
Section: Introductionmentioning
confidence: 99%