2k citations · 2.2k across the 5 of their papers we have counts for
5 papers
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations
Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury +7
Background: Diabetic Sensorimotor polyneuropathy (DSPN) is a major long-term complication in diabetic patients associated with painful neuropathy, foot ulceration and amputation. T…
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the i…
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
With the rapid advancement of technology, different biometric user authentication, and identification systems are emerging. Traditional biometric systems like face, fingerprint, an…
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury +4
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuo…
Can AI help in screening Viral and COVID-19 pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool en…