期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：120-125
出版社：Science and Information Society (SAI)
摘要：The uses of machine learning techniques in medical
diagnosis are very helpful tools now-a-days. By using machine
learning algorithms and techniques, many complex medical
problems can be solved easily and quickly. Without these
techniques, it was a difficult task to find the causes of a problem
or to suggest most appropriate solution for the problem with high
accuracy. The machine learning techniques are used in almost
every field of medical sciences such as heart diseases, diabetes,
cancer prediction, blood transfusion, gender prediction and
many more. Both supervised and unsupervised machine learning
techniques are applied in the field of medical and health sciences
to find the best solution for any medical illness. In this paper, the
implementation of supervised machine learning techniques is
performed for classifying the data of the pregnant women on the
basis of mode of delivery either it will be a C-Section or a normal
delivery. This analysis allows classifying the subjects into
caesarean and normal delivery cases, hence providing the insight
to physician to take precautionary measures to ensure the health
of an expecting mother and an expected child.
关键词：Machine learning; supervised learning;
bioinformatics; medical sciences
