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    Browsing Electrical Engineering by Publisher "BioMed Central Ltd"

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        Genomic landscape of prominent XDR Acinetobacter clonal complexes from Dhaka, Bangladesh 

        Rahman, Aura; Styczynski, Ashley; Khaleque, Abdul; Hossain, Sakib Abrar; Sadique, Abdus; Hossain, Arman; Jain, Mukesh; Tabassum, Syeda Naushin; Khan, Fahad; Bhuiyan, Mohammad Sami Salman; Alam, Jahidul; Khandakar, Amith; Kamruzzaman, Mohammad; Ahsan, Chowdhury Rafiqul; Kashem, Saad Bin Abul; Chowdhury, Muhammad E. H.; Hossain, Maqsud... more authors ... less authors ( BioMed Central Ltd , 2022 , Article)
        Background: Acinetobacter calcoaceticus-A. baumannii (ACB) complex pathogens are known for their prevalence in nosocomial infections and extensive antimicrobial resistance (AMR) capabilities. While genomic studies worldwide ...
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        Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights 

        Prithula, Johayra; Chowdhury, Muhammad E. H.; Khan, Muhammad Salman; Al-Ansari, Khalid; Zughaier, Susu M.; Islam, Khandaker Reajul; Alqahtani, Abdulrahman... more authors ... less authors ( BioMed Central Ltd , 2024 , Article)
        The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric ...
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        Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3 

        Rahman, Md. Sohanur; Islam, Khandaker Reajul; Prithula, Johayra; Kumar, Jaya; Mahmud, Mufti; Alam, Mohammed Fasihul; Reaz, Mamun Bin Ibne; Alqahtani, Abdulrahman; Chowdhury, Muhammad E. H.... more authors ... less authors ( BioMed Central Ltd , 2024 , Article)
        Background: Sepsis poses a critical threat to hospitalized patients, particularly those in the Intensive Care Unit (ICU). Rapid identification of Sepsis is crucial for improving survival rates. Machine learning techniques ...

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