82 citations · 124 across the 3 of their papers we have counts for
3 papers
Leukemia detection based on microscopic blood smear images using deep learning
Abdelmageed Ahmed, Alaa Nagy, Ahmed Kamal +1
In this paper we discuss a new method for detecting leukemia in microscopic blood smear images using deep neural networks to diagnose leukemia early in blood. leukemia is considere…
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data
Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz +9
Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-r…
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19
Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad +9
Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals w…