Abstract:

Background: This analysis aims at heart disease prediction and diagnosis using machine learning, deep learning techniques from 2012 to 2021, using bibliometric methods. Methods: Retrieved various heart disease prediction articles from popular databases like Scopus, from 2012 to 2021 research articles are considered to analyse. To do and receive results like documents by affiliation, type, sponsors and so on, scopus analyser is used. As far as network analysis is concerned VOSviewer Version 1.6.17 is used to show the analysis relations among citation, occurrences and co-authorship etc. Results:On heart disease prediction, the database results 717articles to study from 2012 to 2021. India has contributed maximum articles from 2012 to 2021 is shown from statistical and network analysis. Different parameters of network analysis are the evidence to show the subject’s potential in the field of research. Conclusions:A huge scope is expected to contribute in future research in areas like NN (neural network advanced algorithms, DL(deep learning),and ML (machine learning) is shown from different parameters of network analysis. English has the best number, a total of 717 articles are resulted from the search of scopus keyword. The potential in the topic is shown from statistical analysis of authors, documents, affiliations and country.

Description:

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