S. Tabassum, N. Abedin, M. M. Rahman, M. M. Rahman, M. T. Ahmed, R. I. Maruf, A. Ahmed, "An Online Cursive Handwritten Medical Words Recognition System for Busy Doctors in Developing Countries for Ensuring Efficient Healthcare Service Delivery", Scientific Reports (2022), 12(1), 1-13.
Impact factor: 4.996 (2021)
S. Tabassum, M. S. Ullah, N. H. Al-nur, S. Shatabda, "Poribohon-BD: Bangladeshi Local Vehicle Image Dataset with Annotation for Classification", Data in brief 33 (2020), 106465.
Impact factor: 2.4 (2021)
⇲ publication ⇲ dataset
Predicting Cardiac Anomaly using IoT sensors and Machine Learning
Collect vital signs such as heart rate, electrocardiogram, blood pressure, blood cholesterol from the human body using sensor-based wearable technology.
Trained a neural network on Cleveland dataset from the UCI Machine Learning Repository to detect and notify cardiac abnormality of a patient. The model achieved 82% accuracy.
Developed a mobile app to connect with the sensors and notify the user in case any anomaly is found.