Sakifa Aktar

According to our database, Sakifa Aktar authored at least 5 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh.

Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, Md. Abul Ala Walid, Sakifa Aktar, Naif M. Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni

Inf., 2023

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder.

Md. Jamal Uddin, Md. Martuza Ahamad, Prodip Kumar Sarker, Sakifa Aktar, Naif M. Alotaibi, Salem A. Alyami, Muhammad Ashad Kabir, Mohammad Ali Moni

Comput., 2023

2020

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients.

Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni

Expert Syst. Appl., 2020

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, A. K. M. 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

CoRR, 2020

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

CoRR, 2020