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Mohammad Hossein Khosravi

Researcher at Baqiyatallah University of Medical Sciences

Publications -  113
Citations -  20808

Mohammad Hossein Khosravi is an academic researcher from Baqiyatallah University of Medical Sciences. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 16, co-authored 82 publications receiving 13907 citations. Previous affiliations of Mohammad Hossein Khosravi include Tehran University of Medical Sciences & Iran University of Medical Sciences.

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Effect of Abdominal Massage on Gastric Residual Volume and Weight Gain of Premature Infants Admitted in NICU

TL;DR: In this article, abdominal massages were used to decrease gastric residual volume in preterm infants and reduce the duration of hospitalization in neonatal intensive care unit (NICU).
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Outcomes of Cochlear Implantation in Post-lingually Deaf Patients.

TL;DR: In this paper, a cross-sectional study of post-lingually deaf patients who had undergone cochlear implantation (CI) surgery between December 2010 and February 2016 were assessed.
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A decision-making system for medical diagnosis based on iterative nearest component analysis and optimized learning

TL;DR: In this paper , a hybrid model incorporating iterative neighborhood component analysis (iNCA) and support vector machine (SVM) algorithm was proposed for early diagnosis of silent diseases.
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Letter to the Editor: Should We Really Take Anti-Viral Therapy into Account in Chronic Hepatitis B Patients with Normal Liver Function?

TL;DR: It is difficult to conclude that AVT can have protective effect on HCC in patients with normal ALT level, high HBV DNA level and without liver damage; as it has been shown that these patients could be considered as HBV inactive carriers (IC) regarding treatment.
Proceedings ArticleDOI

Accurate Reconstruction of Electrical Impedance Tomography Images Using Genetic Algorithm

TL;DR: In this article , the authors used genetic algorithm to obtain the best radius to produce the optimized image with minimum mean square error, which was meshed up to three stages by increasing the discretization nodes and implemented GA was evaluated on it.