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All Journal Indian Journal of Forensic Medicine & Toxicology
M.R.Prashanthy
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Public Health

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A Comparative Analysis of Misery Index and Its Impact on Health Indicators Across The Globe Aishwarya; Rajmohan; Suganya.P; Prabu.D; Bharathwaj; M.R.Prashanthy
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.16658

Abstract

Aim: This study aims to analyze the impact/relationship of the health indicators and the human developmentindex over the globe’s misery index.Materials and Method: In this paper, a comparative data analysis of the misery index, health indicators likemortality rate, disability rate, Quality of life index, and human development index, along with the rankingbased on the human development index, were done by tabulating the data collected from the electronicsources.Results: There was a strong correlation between the misery index, human development index, and healthindicators.Conclusion: This paper clearly shows that the misery index of a country was highly influenced by the healthindicators, such as the mortality rate, disability rate, and Quality of life. Further, the human developmentindex also had a comparative impact on the misery index of a country. Hence, this study depicted a descriptivestatistical relationship among the misery index, the health indicators (mortality rate, disability rate, Qualityof life) and the Human Development Index (HDI).
Application of Machine Learning and Deep Learning Technology in the Field of Dentistry among Top Five Gross Domestic Product (GDP) Countries - A Scientometric Analysis Varshini Rajendran; V.V.Bharathwaj; P.Suganya; D.Prabu; Rajmohan; M.R.Prashanthy
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.17123

Abstract

Background: The Scientometric analysis of the articles helps to provide more useful information about thefield of research.Aim: This study aims to evaluate the articles based on the application of deep learning and machine learningin the field of Dentistry among top five Gross domestic product (GDP) countries.Materials and Method: The articles related to Deep learning (DL) and Machine learning (ML) in the fieldof Dentistry among top five GDP countries were retrieved from electronic databases such as Google Scholar,Scopus and PubMed using keywords and MeSH terms. The parameters such as author name, number ofauthorships, number of citations, year, place of the study, journal, type of article, field of dentistry, outcomeand implementation of deep learning and machine learning in dentistry were evaluated. The collected datawere analyzed and tabulated using descriptive analysis.Results: Totally thirty seven number of articles regarding deep learning and machine learning in the fieldof dentistry among top five GDP Countries were obtained. The maximum number of studies was publishedin United States of America and minimum studies in Japan. The articles were published between the years2001 and 2020 in different fields of Dentistry.Conclusion: The Scientometric analysis of articles related to the use of deep learning and machine learningin the field of Dentistry helps the researchers and dentists to have an idea about the trends and improvementfor better analysis and treatment in the future for greater benefit of patients.
Co-Authors Aishwarya Bharathwaj D.Prabu P.Suganya Prabu.D Rajmohan Suganya.P V.V.Bharathwaj Varshini Rajendran