A
A. H. M. Kamal
Researcher at Jatiya Kabi Kazi Nazrul Islam University
Publications - 29
Citations - 261
A. H. M. Kamal is an academic researcher from Jatiya Kabi Kazi Nazrul Islam University. The author has contributed to research in topics: Computer science & Embedding. The author has an hindex of 7, co-authored 20 publications receiving 101 citations. Previous affiliations of A. H. M. Kamal include Bangladesh University of Engineering and Technology.
Papers
More filters
Journal ArticleDOI
Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development.
Sakifa Aktar,Martuza Ahamad,Rashed-Al-Mahfuz,Akm Azad,Shahadat Uddin,A. H. M. Kamal,Salem A. Alyami,Ping-I Lin,Sheikh Mohammed Shariful Islam,Julian M.W. Quinn,Valsamma Eapen,Mohammad Ali Moni,Mohammad Ali Moni +12 more
TL;DR: In this article, Wang et al. investigated how data from the peripheral blood of patients with COVID-19 can be used to predict clinical outcomes and developed a number of analytical methods that showed accuracy and precision scores >90% for disease severity prediction.
Journal ArticleDOI
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
Sakifa Aktar,Md. Martuza Ahamad,Rashed-Al-Mahfuz,Akm Azad,Shahadat Uddin,A. H. M. Kamal,Salem A. Alyami,Ping-I Lin,Sheikh Mohammed Shariful Islam,Julian M.W. Quinn,Valsamma Eapen,Mohammad Ali Moni +11 more
TL;DR: A number of analytic methods that showed accuracy and precision for disease severity and mortality outcome predictions that were above 90% could be utilised to identify, COVID-19 patients at high risk of mortality and so enable their treatment to be optimised.
Posted Content
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,A. H. M. Kamal,Jahidur Rahman Khan,Md. Protikuzzaman,Nasif Hossain,Julian M.W. Quinn,Matthew A. Summers,Teng Liaw,Valsamma Eapen,Mohammad Ali Moni +11 more
TL;DR: While age and gender were the most significant predictor of mortality, in terms of symptom-comorbidity combinations, it was observed that Pneumonia-Hypertension, P pneumonia-Diabetes and Acute Respiratory Distress Syndrome (ARDS)- Hypertension showed the mostsignificant effects on COVID-19 mortality.
Journal ArticleDOI
Facilitating and securing offline e-medicine service through image steganography.
TL;DR: A new idea is proposed to model the physical structure of the e-medicine system to better provide offline health care services and a very unique technique is suggested to verify the card owner's identity and to embed secret data to the card while providing patients' reports.
Journal ArticleDOI
Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19
Sakifa Aktar,Ashis Talukder,Md. Martuza Ahamad,A. H. M. Kamal,Jahidur Rahman Khan,Protikuzzaman,Nasif Hossain,Akm Azad,Julian M.W. Quinn,Mathew A. Summers,Teng Liaw,Valsamma Eapen,Mohammad Ali Moni +12 more
TL;DR: In this article, a meta-analysis of published global literature and machine learning predictive analysis using an aggregated COVID-19 global dataset was performed to assess the degree to which comorbidities are associated with severe symptoms and mortality.