Diagnostic Value of Non-stress Test Interpreted by Smart Interpretive Software
نویسندگان
1 Lecturer, Department of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojuord, Iran
2 PhD Student of Computer Engineering and Artificial Intelligence, Department of Computer, School of Electrical and Computer Engineering, Branch of North Tehran, Islamic Azad University, Tehran, Iran
3 Lecturer, Department of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojnurd, Iran
4 Lecturer, Department of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojnurd, Iran
5 Lecturer, Department of Midwifery, School of Nursing and Midwifery, Gerontological Care Research Center, North Khorasan University of Medical Sciences, Bojuord, Iran
doi
10.22038/jmrh.2018.21461.1228چکیده
Background and aim: Using appropriate methods for the assessment of fetal health including non-stress test during high-risk pregnancies due to possible placental insufficiency is of paramount importance. Due to complexity in medical decisions, using information systems is being increased to support complex medical decisions. We conducted this study to measure the diagnostic value of non-stress test interpreted by smart interpretive software. Materials and Methods: This study was carried out on 400 non-stress tests obtained from patients’ records regardless of the results of tests in Bent-Ul-Hoda Hospital, Bojnord, Iran. Then, to increase the accuracy of tests, they were interpreted by two specialists with Master’s degree in Midwifery. Finally, the tests were interpreted by the given software. The diagnostic test accuracy was measured using sensitivity and specificity of the software. Results: Out of 400 selected tests, experts interpreted 126 tests with reaction and 274 cases without reaction. The diagnostic accuracy, sensitivity, and specificity of the software were 92.45%, 94.07, and 88.40, respectively. Conclusion: According to the results, the use of this software for interpreting non-stress test results, reduce false- positive and false-negative diagnoses.
