Browsing by Author "Reaz, Mamun Bin Ibne"
Now showing items 1-3 of 3
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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 ... -
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
Prithula, Johayra; Islam, Khandaker Reajul; Kumar, Jaya; Tan, Toh Leong; Reaz, Mamun Bin Ibne; Rahman, Tawsifur; Zughaier, Susu M.; Khan, Muhammad Salman; Murugappan, M.; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2025 , Article)Sepsis, a life-threatening condition triggered by the body's response to infection, remains a significant global health challenge, annually affecting millions in the United States alone with substantial mortality and ... -
Wearable Real-Time Epileptic Seizure Detection and Warning System
Chowdhury, Muhammad E.H.; Khandakar, Amith; Alzoubi, Khawla; Mohammed, Aisha; Taha, Safaa; Omar, Aya; Islam, Khandaker R.; Rahman, Tawsifur; Md. Shafayet, Hossain; Islam, Mohammad T.; Reaz, Mamun Bin Ibne... more authors ... less authors ( Springer International Publishing , 2022 , Book chapter)Epilepsy is an unpredictable neuronal brain disorder, affecting approximately 70 million people. It is characterized by seizures resulting in the patient losing the capability of controlling his/her actions. Besides being ...