Diabetes Prediction using Machine learning : A Bibliometric Analysis

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. This study aims to provide a global picture on current status of diabetes prediction research field by analyzing trends in publications, authors, countries and institutions from Scopus and Web of Science database for the year 2009-2020. Further, to enhance the analysis, network inspection in terms of co-authorship, collaborative countries, citation analysis and keyword co-occurrences were explored. Tools like VoSviewer and tableau are used for analysis

Diabetes Prediction using Machine learning : A Bibliometric Analysis

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. This study aims to provide a global picture on current status of diabetes prediction research field by analyzing trends in publications, authors, countries and institutions from Scopus and Web of Science database for the year 2009-2020. Further, to enhance the analysis, network inspection in terms of co-authorship, collaborative countries, citation analysis and keyword co-occurrences were explored. Tools like VoSviewer and tableau are used for analysis

Analysis of Recent Trends in Continuous Sign Language Recognition using NLP

Oralism is an ideology and practice that advocates communication that is based solely on speech. This practice is encouraged from a pretty early age in our country. As a consequence, the hard of hearing are constantly forced to negotiate with schools, colleges, organisations, workspaces, and families that don’t acknowledge the need and preference for sign language over oral languages. This results in inconsideration of an entire community for admissions, jobs and general social position. We aim to close that communication gap a little and take a step towards fighting the stigma associated with Sign Language. The aim is to provide a system for efficient communication with the deaf