Cardiotocographic Diagnosis of Fetal Health based on Multiclass Morphologic Pattern Predictions using Deep Learning Classification
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 5
Abstract
Medical complications of pregnancy and pregnancy-related deaths continue to remain a major global challenge today. Internationally, about 830 maternal deaths occur every day due to pregnancy-related or childbirth-related complications. In fact, almost 99% of all maternal deaths occur in developing countries. In this research, an alternative and enhanced artificial intelligence approach is proposed for cardiotocographic diagnosis of fetal assessment based on multiclass morphologic pattern predictions, including 10 target classes with imbalanced samples, using deep learning classification models. The developed model is used to distinguish and classify the presence or absence of multiclass morphologic patterns for outcome predictions of complications during pregnancy. The testing results showed that the developed deep neural network model achieved an accuracy of 88.02%, a recall of 84.30%, a precision of 85.01%, and an F-score of 0.8508 in average. Thus, the developed model can provide highly accurate and consistent diagnoses for fetal assessment regarding complications during pregnancy, thereby preventing and/or reducing fetal mortality rate as well as maternal mortality rate during and following pregnancy and childbirth, especially in low-resource settings and developing countries.
Authors and Affiliations
Julia H. Miao, Kathleen H. Miao
Keywords
Related Articles
- EP ID EP309295
- DOI 10.14569/IJACSA.2018.090501
- Views 110
- Downloads 0
Communication and migration of an embeddable mobile agent platform supporting runtime code mobility
In this paper we present the design and the implementation of Mobile-C, an IEEE Foundation for Intelligent Physical Agents (FIPA) compliant agent platform for mobile C/C++ agents. Such compliance ensures the interoperabi...
Improving Modified Grey Relational Method for Vertical Handover in Heterogeneous Networks
With the advent of next-generation wireless network technologies, vertical handover has become indispensable to keep the mobile user always best connected (ABC) in a heterogeneous environment, especially the significant...
Word Sense Disambiguation Approach for Arabic Text
Word Sense Disambiguation (WSD) consists of identifying the correct sense of an ambiguous word occurring in a given context. Most of Arabic WSD systems are based generally on the information extracted from the local cont...
Hypercube Graph Decomposition for Boolean Simplification: An Optimization of Business Process Verification
This paper deals with the optimization of busi-ness processes (BP) verification by simplifying their equivalent algebraic expressions. Actual approaches of business processes verification use formal methods such as autom...
Global Citation Impact rather than Citation Count
The progressing bloom in the tome of scientific literature available today debars researchers from efficiently shrewd the relevant from irrelevant content. Researchers are persistently engrossed in impactful papers, auth...