Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions f... von Khodabandelu, Sajad, Basirat, Zahra, Khaleghi, Sara, Khafri, Soraya, Montazery Kordy, Hussain, Golsorkhtabaramiri, Masoumeh

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Incidence and investigation of Covid-19 trend in Babol, northern Iran: A Joinpoint regression analysis von Khaleghi, Sara, Nikbakht, Hossein-Ali, Khodabandelu, Sajad, Khafri, Soraya

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Increased prevalence of thyroid dysfunction in Tehran - HAMRAH study von Ghaemmaghami, Zahra, Firoozbakhsh, Parisa, Gholami, Delara, Khodabandelu, Sajad, Baay, Mohammadreza, Alemzadeh-Ansari, Mohammad Javad, Mohebbi, Bahram, Hosseini, Zahra, Boudagh, Shabnam, Pouraliakbar, Hamidreza, Pasebani, Yeganeh, Rafati, Ali, Khalilpour, Ehsan, Khalili, Yasaman, Arabian, Maedeh, Maleki, Majid, Bakhshandeh, Hooman, Sadeghipour, Parham

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Development of a Machine Learning-Based Screening Method for Thyroid Nodules Classification by Solving the Imbalance Challenge in Thyroid Nodules Data von Khodabandelu, Sajad, Ghaemian, Naser, Khafri, Soraya, Ezoji, Mehdi, Khaleghi, Sara

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Modeling and Prediction of the Mortality Trend due to Accidents in Golestan Province Based on the Lee-carter Model von Alireza Heidari, Mohammad Javad Kabir, Sajad khodabandelu, Nahid Jafari, Zahra Khatirnamani, Masoumeh Gholami

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