تصفح College of Medicine حسب المؤلف "Rahman, Tawsifur"
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An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
Chowdhury, Muhammad E.H.; Rahman, Tawsifur; Khandakar, Amith; Al-Madeed, Somaya; Zughaier, Susu M.; Doi, Suhail A.R.; Hassen, Hanadi; Islam, Mohammad T.... more authors ... less authors ( Springer , 2021 , Article)COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ... -
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Bidmos, Mubarak A.; Olateju, Oladiran I.; Latiff, Sabiha; Rahman, Tawsifur; Chowdhury, Muhammad E.H. ( Springer Nature , 2022 , Article)Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ... -
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
Islam, Khandaker R.; Kumar, Jaya; Tan, Toh L.; Reaz, Mamun B.; Rahman, Tawsifur; Khandakar, Amith; Abbas, Tariq; Hossain, Md. S.; Zughaier, Susu M.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ...