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    Browsing by Author "Prithula, Johayra"

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        Correction: 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 ( Springer Nature link , 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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        Predicting ICU Mortality Among Septic Patients Using Machine Learning Technique 

        Al-Ansari, Aisha A; Nejad, Fatima A Bahman; Al-Nasr, Roudha J; Prithula, Johayra; Rahman, Tawsifur; Hasan, Anwarul; Chowdhury, Muhammad E H; Alam, Mohammed Fasihul... more authors ... less authors ( MDPI , 2025 , Article)
        Introduction: Sepsis leads to substantial global health burdens in terms of morbidity and mortality and is associated with numerous risk factors. It is crucial to identify sepsis at an early stage in order to limit its ...

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        Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

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