Search Results - "Fathy, Mobin"

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    Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence) by Mohtarami, Seyed Ali, Mostafazadeh, Babak, Shadnia, Shahin, Rahimi, Mitra, Evini, Peyman Erfan Talab, Ramezani, Maral, Borhany, Hamed, Fathy, Mobin, Eskandari, Hamidreza

    Published in Daru (21-05-2024)
    “…Background Treatment management for opioid poisoning is critical and, at the same time, requires specialized knowledge and skills. This study was designed to…”
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    Journal Article
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    Non-spinal low back pain: Global epidemiology, trends, and risk factors by Shokri, Pourya, Zahmatyar, Mahdi, Falah Tafti, Mahdi, Fathy, Mobin, Rezaei Tolzali, Mohammadmahdi, Ghaffari Jolfayi, Amir, Nejadghaderi, Seyed Aria, Sullman, Mark J M, Kolahi, Ali-Asghar, Safiri, Saeid

    Published in Health science reports (01-09-2023)
    “…Low back pain (LBP) is one of the most debilitating and prevalent disorders. The prevalence of LBP ranges from 30% to 80%, depending on the population, and…”
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    Journal Article
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    Steroid-Induced Progressive Multifocal Leukoencephalopathy (PML) in HIV Patient: A Paradoxical Effect by Shabani, Minoosh, Fathy, Mobin, Pourmoshtagh, Hassan, Maghsudloo, Faezeh

    Published in Archives of clinical infectious diseases (30-04-2024)
    “…Introduction: Progressive multifocal leukoencephalopathy (PML) is a rare, severe demyelinating disease of the central nervous system predominantly found in…”
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    Journal Article
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    Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data by Khorsand, Babak, Rajabnia, Mohsen, Jahanian, Ali, Fathy, Mobin, Taghvaei, Somayye, Houri, Hamidreza

    Published in Advances in medical sciences (01-03-2025)
    “…Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any surgical conditions…”
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    Journal Article
  7. 7

    Prediction of acute methanol poisoning prognosis using machine learning techniques by Rahimi, Mitra, Hosseini, Sayed Masoud, Mohtarami, Seyed Ali, Mostafazadeh, Babak, Evini, Peyman Erfan Talab, Fathy, Mobin, Kazemi, Arya, Khani, Sina, Mortazavi, Seyed Mohammad, Soheili, Amirali, Vahabi, Seyed Mohammad, Shadnia, Shahin

    Published in Toxicology (Amsterdam) (01-05-2024)
    “…Methanol poisoning is a global public health concern, especially prevalent in developing nations. This study focuses on predicting the severity of methanol…”
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    Journal Article