Now showing items 1-20 of 21

    • A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) using optimized ensemble learning 

      Mohebian, Mohammad Reza; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Mokarian, Fariborz (Elsevier, 2016-12-06)
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      Cancer is a collection of diseases that involves growing abnormal cells with the potential to invade or spread tothe body. Breast cancer is the second leading cause of cancer death among women. A method for 5-year breastcancer ...
    • A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study 

      Samí, Ramin; Soltaninejad, Forogh; Amra, Babak; Naderi, Zohre; Javanmard, Shaghayegh Haghjooy; Iraj, Bijan; Ahmadi, Somayeh Haji; Shayganfar, Azin; Dehghan, Mehrnegar; Khademi, Nilufar; Hosseini, Nastaran Sadat; Mortazavi, Mojgan; Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; Mañanas Villanueva, Miguel Ángel; Adibi, Peyman (Public Library of Science (PLOS), 2020-11-05)
      Article
      Open Access
      The COVID-19 is rapidly scattering worldwide, and the number of cases in the Eastern Mediterranean Region is rising. Thus, there is a need for immediate targeted actions. We designed a longitudinal study in a hot outbreak ...
    • A real-time and convex model for the estimation of muscle force from surface electromyographic signals in the upper and lower limbs 

      Shirzadi, Mehdi; Marateb, Hamid Reza; Rojas Martínez, Mónica Marlene; Mansourian Gharakozlou, Marjan; Botter, Alberto; dos Anjos, Fabio Vieira; Vieira, Taian Martins; Mañanas Villanueva, Miguel Ángel (Frontiers Media SA, 2023-02)
      Article
      Open Access
      Low-volume lung injury encompasses local concentration of stresses in the vicinity of collapsed regions in heterogeneously ventilated lungs. We aimed to study the effects on ventilation and perfusion distributions of a ...
    • A real-time method for decoding the neural drive to muscles using single-channel intra-muscular EMG recordings 

      Karimimehr, Saeed; Marateb, Hamid Reza; Muceli, Silvia; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Farina, Dario (2017-09-01)
      Article
      Open Access
      The neural command from motor neurons to muscles — sometimes referred to as the neural drive to muscle — can be identified by decomposition of electromyographic (EMG) signals. This approach can be used for inferring the ...
    • Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study 

      Marateb, Hamid Reza; von Cube, Maja; Samí, Ramin; Javanmard, Shaghayegh Haghjooy; Mansourian Gharakozlou, Marjan; Amra, Babak; Soltaninejad, Forogh; Mortazavi, Mojgan; Adibi, Peyman; Khademi, Nilufar; Hosseini, Nastaran Sadat; Toghyani, Arash; Hassannejad, Razieh; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Wolkewitz, Martin (2021-12-01)
      Article
      Open Access
      Background: Already at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management ...
    • Automatic classification between COVID-19 and Non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings : the Khorshid COVID cohort study 

      Marateb, Hamid Reza; Nezhad, Farzad Ziaie; Mohebian, Mohammad Reza; Samí, Ramin; Javanmard, Shaghayegh Haghjooy; Dehghan Niri, Fatemeh; Akafzadeh Savari, Mahsa; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Wolkewitz, Martin; Binder, Harald (Frontiers Media SA, 2021-11-18)
      Article
      Open Access
      Coronavirus disease-2019, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was a disaster in 2020. Accurate and early diagnosis of coronavirus disease-2019 (COVID-19) is still essential for health ...
    • Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study 

      Marateb, Hamid Reza; Tasdighi, Zahra; Mohebian, Mohammad Reza; Naghavi, Azam; Hess, Moritz; Motlagh, Mohammad Esmaeil; Heshmat, Ramin; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Kelishadi, Roya (Nature, 2021-12-01)
      Article
      Open Access
      Identifying the possible factors of psychiatric symptoms among children can reduce the risk of adverse psychosocial outcomes in adulthood. We designed a classification tool to examine the association between modifiable ...
    • Correspondence on “Electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the World Heart Federation Global Study” by Pinto-Filho et al 

      Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel (2023-02-14)
      Article
      Open Access
      The manuscript by Martins Pinto-Filho et al., a multicentre study on the prognostic value of electrocardiographic findings, was evaluated. However, certain critical issues were highlighted. First, the authors didn't verify ...
    • Developing non-laboratory cardiovascular risk assessment charts and validating laboratory and non-laboratory-based models 

      Hassannejad, Razieh; Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; Mohebian, Mohammad Reza; Gaziano, Thomas Andrew; Jackson, Rodney T.; Di Angelantonio, Emanuele; Sarrafzadegan, Nizal (Elsevier, 2021-09-02)
      Article
      Open Access
      Background: Developing simplified risk assessment model based on non-laboratory risk factors that could determine cardiovascular risk as accurately as laboratory-based one can be valuable, particularly in developing countries ...
    • Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals 

      Marateb, Hamid Reza; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Azimi, Tayebe; Nezhad, Farzad Ziaie; Mansourian Gharakozlou, Marjan; Alonso López, Joan Francesc; Aparicio, Javier; San Antonio Arce, María Victoria; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2020-09)
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      In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods ...
    • Methodological biases in observational hospital studies of COVID-19 treatment effectiveness: pitfalls and potential 

      Martinuka, Oksana; Hazard, Derek; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Rubio Rivas, Manuel; Wolkewitz, Martin (Frontiers Media SA, 2024-03-21)
      Article
      Open Access
      Introduction: This study aims to discuss and assess the impact of three prevalent methodological biases: competing risks, immortal-time bias, and confounding bias in real-world observational studies evaluating treatment ...
    • Outlier detection in high-density surface electromyographic signals 

      Marateb, Hamid Reza; Rojas Martínez, Mónica; Mansourian Gharakozlou, Marjan; Merletti, R.; Mañanas Villanueva, Miguel Ángel (2012-01)
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      Recently developed techniques allow the analysis of surface EMG in multiple locations over the skin surface (high-density surface electromyography, HDsEMG). The detected signal includes information from a greater ...
    • PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region 

      Sarrafzadegan, Nizal; Hassannejad, Razieh; Marateb, Hamid Reza; Talaei, Mohammad; Sadeghi, Masoumeh; Roohafza, Hamid Reza; Masoudkabir, Farzad; OveisGharan, Shahram; Mañanas Villanueva, Miguel Ángel; Mohebian, Mohammad Reza; Mansourian Gharakozlou, Marjan (2017-12-19)
      Article
      Open Access
      This study was designed to develop a risk assessment chart for the clinical management and prevention of the risk of cardiovascular disease (CVD) in Iranian population, which is vital for developing national prevention ...
    • Pathways leading to prevention of fatal and non-fatal cardiovascular disease: An interaction model on 15 years populationbased cohort study 

      Shakibaei, Najmeh; Hassannejad, Razieh; Mohammadifard, Noushin; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Mañanas Villanueva, Miguel Ángel; Sarrafzadegan, Nizal (2020-09-05)
      Article
      Open Access
      BACKGROUND: A comprehensive study on the interaction of cardiovascular disease (CVD) risk factors is critical to prevent cardiovascular events. The main focus of this study is thus to understand direct and indirect ...
    • Post-discharge health assessment in survivors of coronavirus disease: a time-point analysis of a prospective cohort study 

      Samí, Ramin; Arabi, Sina; Ghasemi, Khojasteh; Akafzadeh Savari, Mahsa; Ebrahimi, Sara; Toghyani, Arash; Mahvari, Razieh; Moayednia, Reza; Dadkhahi, Seyed Amir; Sadeghi, Sara; Marateb, Hamid Reza; Adibi, Peyman; Kavosh, Aryan; Mansourian Gharakozlou, Marjan (Springer Nature, 2023-05-07)
      Article
      Open Access
      PURPOSE: The objective of this study was to quantitatively evaluate psychological and quality of life-related complications at three months following discharge in hospitalized coronavirus disease 2019 (COVID-19) patients ...
    • Predicting COVID-19 hospital stays with Kolmogorov-Gabor polynomials: charting the future of care 

      Marateb, Hamid Reza; Norouzirad, Mina; Tavakolian, Kouhyar; Aminorroaya, Faezeh; Mohebbian, Mohammad Reza; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; Samí, Ramin; Mansourian Gharakozlou, Marjan (Multidisciplinary Digital Publishing Institute (MDPI), 2023-10-31)
      Article
      Open Access
      Optimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which necessitates urgent hospitalization for certain patients. Several governments have leveraged technology to mitigate the pandemic’s ...
    • Prosthesis control using undersampled surface electromyographic signals 

      Marateb, Hamid Reza; Ziaie Nezhad, Farzad; Nosouhi, Marjan; Nasr Esfahani, Zahra; Fazilati, Farzaneh; Yusefi, Fatemeh; Amiri, Golnaz; Maleki Far, Negar; Rastegari, Mohsen; Mohebbian, Mohammad Reza; Wahid, Khan A.; Jordanic, Mislav; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Mansourian Gharakozlou, Marjan (CRC Press, 2021-08-11)
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      Amputations can result in disability, permanent physical injury, and even posttraumatic stress disorder. Upper extremity amputations are mostly work-related, and such injuries include about 7% of the total burden of disease. ...
    • Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design 

      Azimi, Tayebe; Koochekian, Amirhossein; Marateb, Hamid Reza; Shirzadi, Mehdi; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2022-12)
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      Chapter 3 discusses the role of sensors in cases of moderate COVID-19 infection that may be linked to cognitive impairments; such prediction systems are promising for smart healthcare design.
    • Reliable diagnosis and prognosis of COVID-19 

      Mansourian Gharakozlou, Marjan; Marateb, Hamid Reza; von Cube, Maja; Khademi, Sadaf; Jordanic, Mislav; Mañanas Villanueva, Miguel Ángel; Binder, Harald; Wolkewitz, Martin (CRC Press, 2021-04-28)
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      The 2019 novel coronavirus disease (COVID-19) epidemic was officially announced by the World Health Organization (WHO) as an international public health emergency. The medical research world is responding to the COVID-19 ...
    • Target trial emulation using hospital-based observational data: demonstration and application in COVID-19 

      Martinuka, Oksana; von Cube, Maja; Hazard, Derek; Marateb, Hamid Reza; Mansourian Gharakozlou, Marjan; Samí, Ramin; Hajian, Mohammad Reza; Ebrahimi, Sara; Wolkewitz, Martin (Multidisciplinary Digital Publishing Institute (MDPI), 2023-03-13)
      Article
      Open Access
      Methodological biases are common in observational studies evaluating treatment effectiveness. The objective of this study is to emulate a target trial in a competing risks setting using hospital-based observational data. ...