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  • Open Access

    ARTICLE

    Analysis of Pneumonia Model via Efficient Computing Techniques

    Kamaledin Abodayeh1, Ali Raza2,3,*, Muhammad Rafiq4, Muhammad Shoaib Arif5, Muhammad Naveed5, Zunir Zeb3, Syed Zaheer Abbas3, Kiran Shahzadi3, Sana Sarwar3, Qasim Naveed3, Badar Ul Zaman3, Muhammad Mohsin6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6073-6088, 2022, DOI:10.32604/cmc.2022.020732 - 11 October 2021

    Abstract Pneumonia is a highly transmissible disease in children. According to the World Health Organization (WHO), the most affected regions include south Asia and sub-Saharan Africa. Worldwide, 15% of pediatric deaths can be attributed to pneumonia. Computing techniques have a significant role in science, engineering, and many other fields. In this study, we focused on the efficiency of numerical techniques via computer programs. We studied the dynamics of the pneumonia-like infections of epidemic models using numerical techniques. We discuss two types of analysis: dynamical and numerical. The dynamical analysis included positivity, boundedness, local stability, reproduction number, More >

  • Open Access

    ARTICLE

    Proteome-wide screening for the analysis of protein targeting of Chlamydia pneumoniae in endoplasmic reticulum of host cells and their possible implication in lung cancer development

    YANYAN LI1, SHAHANAVAJ KHAN2,3,4, ANIS AHMAD CHAUDHARY5, HASSAN AHMED RUDAYNI5, ABDUL MALIK2, ASHWAG SHAMI6

    BIOCELL, Vol.46, No.1, pp. 87-95, 2022, DOI:10.32604/biocell.2022.016509 - 28 September 2021

    Abstract Available reports have confirmed a link between bacterial infection and the progression of different types of cancers, including colon, lungs, and prostate cancer. Here we report the Chlamydia pneumonia proteins targeting in endoplasmic reticulum (ER) using in-silico approaches and their possible role in lung cancer etiology. We predicted 48 proteins that target human ER, which may be associated with protein folding and protein-protein interactions during infection. The results showed C. pneumoniae proteins targeting human ER and their implications in lung cancer growth. These targeted proteins may be involved in competitive interactions between host and bacterial proteins, which may More >

  • Open Access

    ARTICLE

    Automated Deep Learning of COVID-19 and Pneumonia Detection Using Google AutoML

    Saiful Izzuan Hussain*, Nadiah Ruza

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1143-1156, 2022, DOI:10.32604/iasc.2022.020508 - 22 September 2021

    Abstract Coronavirus (COVID-19) is a pandemic disease classified by the World Health Organization. This virus triggers several coughing problems (e.g., flu) that include symptoms of fever, cough, and pneumonia, in extreme cases. The human sputum or blood samples are used to detect this virus, and the result is normally available within a few hours or at most days. In this research, we suggest the implementation of automated deep learning without require handcrafted expertise of data scientist. The model developed aims to give radiologists a second-opinion interpretation and to minimize clinicians’ workload substantially and help them diagnose More >

  • Open Access

    ARTICLE

    A Deep Learning to Distinguish COVID-19 from Others Pneumonia Cases

    Sami Gazzah1,*, Rida Bayi2, Soulaimane Kaloun2, Omar Bencharef2

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 677-692, 2022, DOI:10.32604/iasc.2022.019360 - 22 September 2021

    Abstract A new virus called SARS-CoV-2 appeared at the end of space 2019 in Wuhan, China. This virus immediately spread throughout the world due to its highly contagious nature. Moreover, SARS-CoV-2 has changed the way of our life and has caused a huge economic and public health disaster. Therefore, it is urgent to identify positive cases as soon as possible and treat them as isolated. Automatic detection of viruses using computer vision and machine learning will be a valuable contribution to detecting and limiting the spread of this epidemic. The delay introduction of X-ray technology as… More >

  • Open Access

    ARTICLE

    COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

    A. S. Al-Waisy1, Mazin Abed Mohammed1, Shumoos Al-Fahdawi1, M. S. Maashi2, Begonya Garcia-Zapirain3, Karrar Hameed Abdulkareem4, S. A. Mostafa5, Nallapaneni Manoj Kumar6, Dac-Nhuong Le7,8,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2409-2429, 2021, DOI:10.32604/cmc.2021.012955 - 05 February 2021

    Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives and healthcare systems worldwide. This newly recognized virus is highly transmissible, and no clinically approved vaccine or antiviral medicine is currently available. Early diagnosis of infected patients through effective screening is needed to control the rapid spread of this virus. Chest radiography imaging is an effective diagnosis tool for COVID-19 virus and follow-up. Here, a novel hybrid multimodal deep learning system for identifying COVID-19 virus in chest X-ray (CX-R) images is developed and termed as the COVID-DeepNet system to aid expert radiologists in rapid and… More >

  • Open Access

    ARTICLE

    Health care‐associated infections are associated with increased length of stay and cost but not mortality in children undergoing cardiac surgery

    Sarah Tweddell, Rohit S. Loomba, David S. Cooper, Alexis L. Benscoter

    Congenital Heart Disease, Vol.14, No.5, pp. 785-790, 2019, DOI:10.1111/chd.12779

    Abstract Introduction: Health care‐associated infections (HAIs) increase mortality, length of stay, and cost in hospitalized patients. The incidence of and risk factors for developing HAIs in the pediatric population after cardiac surgery have been studied. This study evaluates the impact of HAIs on length of stay, inpatient mortality, and cost of hospitalization in the pediatric population after cardiac surgery.
    Methods: TheKids’InpatientDatabasewasqueriedforanalysis.Patientsunder18years of age who underwent cardiac surgery from 1997 to 2012 were included. HAIs were defined as central line‐associated blood stream infections, catheter‐associated urinary tract infections, ventilator‐associated pneumonias, and surgical wound infections. Univariate analysis compared admissions with and… More >

  • Open Access

    ARTICLE

    Implications of postoperative pulmonary aspiration following major urologic surgery

    Eric J. Kirshenbaum1,2, Robert H. Blackwell1,2, Belinda Li1, Anai N. Kothari2,3, Paul C. Kuo2,3, Robert C. Flanigan1, Alex Gorbonos1, Gopal N. Gupta1,2

    Canadian Journal of Urology, Vol.25, No.1, pp. 9186-9192, 2018

    Abstract Introduction: The purpose of this article is to assess the incidence of pulmonary aspiration following major urologic surgery, identify predictors of an aspiration event, and evaluate subsequent clinical outcomes.
    Materials and methods: The Healthcare Cost and Utilization Project State Inpatient Database for California (2007–2011) was used to identify patients undergoing cystectomy, prostatectomy, partial nephrectomy, and radical nephrectomy. Aspiration events were identified within 30 days post-surgery. The primary outcome was 30-day mortality; secondary outcomes included total length of hospital stay, discharge location, and diagnoses of acute renal failure, pneumonia, or sepsis. Descriptive statistics were performed. A multivariable logistic… More >

  • Open Access

    ARTICLE

    Characterization of multidrug-resistant Klebsiella pneumoniae isolated from the Chinese cobra Naja atra in a Beijing suburb

    Haifeng WANG1, 2, 3 , Hongxuan HE2

    BIOCELL, Vol.42, No.2, pp. 47-54, 2018, DOI:10.32604/biocell.2018.07006

    Abstract The emergence and spread of antibiotic resistance genes among Bacteria are a serious threat to global health. Their occurrence in animals which are in contact with humans is also important. The Chinese cobra (Naja atra, Elapidae), though a highly venomous species, is appreciated as food and as a source of materials used in traditional Chinese medicine. We are here reporting the isolation of multidrug-resistant Klebsiella pneumoniae (Enterobacteriaceae) from the lung of Naja atra, obtained from a snake farm in a Beijing suburb. Our study analyzed, using gene sequencing, the occurrence of antibiotic resistance genes (ARGs) in… More >

  • Open Access

    RESIDENT’S CORNER

    A case of emphysematous cystitis caused by Klebsiella pneumoniae

    José Ignacio Nolazco, Matías Ignacio González, Gabriel Favre, Guillermo Gueglio, Juan Carlos Tejerizo

    Canadian Journal of Urology, Vol.24, No.4, pp. 8932-8933, 2017

    Abstract Emphysematous cystitis is a rare type of urinary tract infection that is characterized by air pockets within the bladder wall and lumen, which come from gas that is mainly produced by gram-negative bacteria, notably Escherichia coli. This infection is more common in older women with poorly controlled diabetes. An abdominal computerized tomography (CT) scan is the gold standard method to make the diagnosis. The infection can be life-threatening, so prompt treatment is essential.
    We present a case of a 39-year-old woman with poorly controlled type 2 diabetes who developed emphysematous cystitis after a bilateral adrenalectomy. The More >

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