tawsifur
Tawsifur Rahman is a biomedical engineer, researcher, and data science enthusiast. He received his M.Sc. in Biomedical Engineering from the University of Dhaka.
University of DhakaBangladesh
Pinned Repositories
COVID-19-Chest-X-ray-Detection
A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is submitted to Scientific Reports (Nature) and the manuscript is uploaded to the arvix server(https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database( https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)
COVID-19-Mortality-Risk-Prediction
ALDCC-scoring-system-for-mortality-prediction
ALDCC scoring system for mortality prediction
Early-COVID-19-prediction-using-Complete-Blood-Count-CBC-Parameters-
Early-COVID-19-prediction-using-Complete-Blood-Count-CBC-Parameters
Mortality-severity-prediction-using-blood-biomarkers
Mortality severity prediction using blood biomarkers
Price-prediction
QCovSML-COVID-19-detection-system-using-CBC-biomarkers
QCovSML-COVID-19-detection-system-using-CBC-biomarkers-app
tawsif
cog-bias-med-LLMs
Addressing common clinical biases in medical language models
tawsifur's Repositories
tawsifur/QCovSML-COVID-19-detection-system-using-CBC-biomarkers-app
tawsifur/COVID-19-Mortality-Risk-Prediction
tawsifur/QCovSML-COVID-19-detection-system-using-CBC-biomarkers
tawsifur/Mortality-severity-prediction-using-blood-biomarkers
Mortality severity prediction using blood biomarkers
tawsifur/ALDCC-scoring-system-for-mortality-prediction
ALDCC scoring system for mortality prediction
tawsifur/Early-COVID-19-prediction-using-Complete-Blood-Count-CBC-Parameters-
Early-COVID-19-prediction-using-Complete-Blood-Count-CBC-Parameters
tawsifur/Price-prediction
tawsifur/COVID-19-Chest-X-ray-Detection
A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Pakistan and Malaysia in collaboration with medical doctors have managed to classify COVID-19, Viral pneumonia and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is submitted to Scientific Reports (Nature) and the manuscript is uploaded to the arvix server(https://arxiv.org/abs/2003.13145). Please make sure you give credit to us while using this repository(https://github.com/tawsifur/COVID-19-Chest-X-ray-Detection) and this database( https://www.kaggle.com/tawsifurrahman/covid19-radiography-database)
tawsifur/tawsif