TY - JOUR ID - 11092 TI - Diagnostic Value of Non-stress Test Interpreted by Smart Interpretive Software JO - Journal of Midwifery and Reproductive Health JA - JMRH LA - en SN - AU - Nazari, Sakineh AU - Hatami, Einolah AU - TabatabaeiChehr, Mahbubeh AU - Bagheri, Maryam AU - Ghorbani, Mahboubeh AD - Lecturer, Department of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojuord, Iran AD - 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 AD - Lecturer, Department of Midwifery, School of Nursing and Midwifery, Gerontological Care Research Center, North Khorasan University of Medical Sciences, Bojuord, Iran AD - Lecturer, Department of Midwifery, School of Nursing and Midwifery, North Khorasan University of Medical Sciences, Bojnurd, Iran Y1 - 2018 PY - 2018 VL - 6 IS - 3 SP - 1393 EP - 1398 KW - Artificial intelligence KW - Non-stress test KW - Diagnostic value KW - Smart Interpretive Software DO - 10.22038/jmrh.2018.21461.1228 N2 - 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. UR - https://jmrh.mums.ac.ir/article_11092.html L1 - https://jmrh.mums.ac.ir/article_11092_52c248348e151b76667cb9c0457bd172.pdf ER -