Not logged inProgress and trends in neurological disorders research based on deep learning
Iqbal, Muhammad Shahid; Heyat, Md Belal Bin; Parveen, Saba; Bin Hayar, Mohd Ammar; Roshanzamir, Mohamad; Alizadehsani, Roohallah; Akhtar, Faijan; Sayeed, Eram; Hussain, Sadiq; Hussein, Hany S.; Sawan, Mohamad
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SaveBODY COMPOSITION PREDICTS HYPERTENSION USING MACHINE LEARNING METHODS: A COHORT STUDY
Drissi, Hamed Bazrafshan; Bazrafshan, Mehdi; Nematollahi, Mohammad Ali; Jahangiri, Soodeh; Asadollahi, Arefeh; Salimi, Maryam; Dehghan, Azizallah; Mashayekh, Mina; Roshanzamir, Mohamad; Gholamabbas, Ghazal; Alizadehsani, Roohallah; Bazrafshan, Hanieh; Islam, Sheikh Mohammed Shariful
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SaveBody composition predicts hypertension using machine learning methods: a cohort study
Nematollahi, Mohammad Ali; Jahangiri, Soodeh; Asadollahi, Arefeh; Salimi, Maryam; Dehghan, Azizallah; Mashayekh, Mina; Roshanzamir, Mohamad; Gholamabbas, Ghazal; Alizadehsani, Roohallah; Bazrafshan, Mehdi; Bazrafshan, Hanieh; Drissi, Hamed Bazrafshan; Islam, Sheikh Mohammed Shariful
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SaveSwarm Intelligence in Internet of Medical Things: A Review
Alizadehsani, Roohallah; Roshanzamir, Mohamad; Izadi, Navid Hoseini; Gravina, Raffaele; Kabir, H. M. Dipu; Nahavandi, Darius; Alinejad-Rokny, Hamid; Khosravi, Abbas; Acharya, U. Rajendra; Nahavandi, Saeid; Fortino, Giancarlo
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SavePrognosis prediction in traumatic brain injury patients using machine learning algorithms
Khalili, Hosseinali; Rismani, Maziyar; Nematollahi, Mohammad Ali; Masoudi, Mohammad Sadegh; Asadollahi, Arefeh; Taheri, Reza; Pourmontaseri, Hossein; Valibeygi, Adib; Roshanzamir, Mohamad; Alizadehsani, Roohallah; Niakan, Amin; Andishgar, Aref; Islam, Sheikh Mohammed Shariful; Acharya, U. Rajendra
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SaveFactors associated with mortality in hospitalized cardiovascular disease patients infected with COVID-19
Alizadehsani, Roohallah; Eskandarian, Rahimeh; Behjati, Mohaddeseh; Zahmatkesh, Mehrdad; Roshanzamir, Mohamad; Izadi, Navid H.; Shoeibi, Afshin; Haddadi, Azadeh; Khozeimeh, Fahime; Sani, Fariba A.; Sani, Zahra A.; Roshanzamir, Zahra; Khosravi, Abbas; Nahavandi, Saeid; Sarrafzadegan, Nizal; Islam, Sheikh Mohammed Shariful
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SaveFusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Sharifrazi, Danial; Alizadehsani, Roohallah; Roshanzamir, Mohamad; Joloudari, Javad Hassannataj; Shoeibi, Afshin; Jafari, Mahboobeh; Hussain, Sadiq; Sani, Zahra Alizadeh; Hasanzadeh, Fereshteh; Khozeimeh, Fahime; Khosravi, Abbas; Nahavandi, Saeid; Panahiazar, Maryam; Zare, Assef; Islam, Sheikh Mohammed Shariful; Acharya, U. Rajendra
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SaveHandling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)
Alizadehsani, Roohallah; Roshanzamir, Mohamad; Hussain, Sadiq; Khosravi, Abbas; Koohestani, Afsaneh; Zangooei, Mohammad Hossein; Abdar, Moloud; Beykikhoshk, Adham; Shoeibi, Afshin; Zare, Assef; Panahiazar, Maryam; Nahavandi, Saeid; Srinivasan, Dipti; Atiya, Amir F.; Acharya, U. Rajendra
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SaveCoronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020
Alizadehsani, Roohallah; Khosravi, Abbas; Roshanzamir, Mohamad; Abdar, Moloud; Sarrafzadegan, Nizal; Shafie, Davood; Khozeimeh, Fahime; Shoeibi, Afshin; Nahavandi, Saeid; Panahiazar, Maryam; Bishara, Andrew; Beygui, Ramin E.; Puri, Rishi; Kapadia, Samir; Tan, Ru-San; Acharya, U. Rajendra
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SaveRisk factors prediction, clinical outcomes, and mortality in COVID-19 patients
Alizadehsani, Roohallah; Sani, Zahra Alizadeh; Behjati, Mohaddeseh; Roshanzamir, Zahra; Hussain, Sadiq; Abedini, Niloofar; Hasanzadeh, Fereshteh; Khosravi, Abbas; Shoeibi, Afshin; Roshanzamir, Mohamad; Moradnejad, Pardis; Nahavandi, Saeid; Khozeimeh, Fahime; Zare, Assef; Panahiazar, Maryam; Acharya, U. Rajendra; Islam, Sheikh Mohammed Shariful
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