Abstract
Machine learning is a system capable of the independent acquisition and integration of knowledge. Machine learning is a chosen approach to speech recognition, natural language processing computer vision, medical outcome analysis, and computational biology. In this paper we carry out bibliometric analysis of 150 papers from January 2015 to September 2016 in order to recognize various aspects of machine learning when used for medical science. We have considered large number of objectives and top rated publishers for analyzing the papers. For carrying out further research in the machine learning for medical science, our analysis would assist students, researchers, publishers, and experts to study the recent trends.
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Bhoiwala, J., Jhaveri, R.H. (2019). A Bibliometric Analysis of Recent Research on Machine Learning for Medical Science. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_23
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DOI: https://doi.org/10.1007/978-981-10-8639-7_23
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