- Prediction of Marital Satisfaction Based on Emotional Intelligence in Postmenopausal Women
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Heidari M, Shahbazi S, Ghafourifard M, Ali Sheikhi R
- KMID: 2400256
- J Menopausal Med.
- 2017 Dec;23(3):196-201.
- doi: 10.6118/jmm.2017.23.3.196
OBJECTIVES: This study was coperinducted with the aim of prediction of marital satisfaction based on emotional intelligence for postmenopausal women. METHODS: This cross-sectional study was the descriptive-correlation and with a sample... -
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- Compound Heterozygosity for Two Novel SLC26A4 Mutations in a Large Iranian Pedigree with Pendred Syndrome
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Yazdanpanahi N, Tabatabaiefar MA, Farrokhi E, Abdian N, Bagheri N, Shahbazi S, Noormohammadi Z, Chaleshtori MH
- KMID: 2278426
- Clin Exp Otorhinolaryngol.
- 2013 Dec;6(4):201-208.
OBJECTIVES: The aim of this study was to detect the genetic cause of deafness in a large Iranian family. Due to the importance of SLC26A4 in causing hearing loss, information... -
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- Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
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Maharlou H, Niakan Kalhori SR, Shahbazi S, Ravangard
- KMID: 2418179
- Healthc Inform Res.
- 2018 Apr;24(2):109-117.
- doi: 10.4258/hir.2018.24.2.109
OBJECTIVES: Accurate prediction of patients' length of stay is highly important. This study compared the performance of artificial neural network and adaptive neuro-fuzzy system algorithms to predict patients' length of... -
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