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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

COVID-CDR

less than 1 minute read

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Recommended citation: 2021-07-21-akmazad-covidcdr

PathTerbEr

less than 1 minute read

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Recommended citation: 2021-04-15-pathturber

DrugSimDB

less than 1 minute read

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Recommended citation: 2020-06-29-drugsimdb

DrugSimDB

less than 1 minute read

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Recommended citation: 2020-06-29-drugsimdb

covid_ts

less than 1 minute read

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Recommended citation: 2020-04-29-covidts

XTalkiiS

1 minute read

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Recommended citation: 2018-01-01-xtalkiis

KPGMiner

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Recommended citation: 2018-01-01-kpgminer

BNMCMC

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Recommended citation: 2018-01-01-bnmcmc

VToD

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Recommended citation: 2013-08-05-vtod

portfolio

publications

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening

Published in IEEE Journal of Translational Engineering in Health & Medicine, 2021

Use Google Scholar for full citation

Recommended citation: Md Rashed-Al-Mahfuz, Abedul Haque, AKM Azad, Salem Alyami, Julian Quinn, Mohammad Moni, "Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening." IEEE Journal of Translational Engineering in Health & Medicine, 2021.

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Published in JMIR Medical Informatics, 2021

Access paper here

Recommended citation: Sakifa Aktar, Md Ahamad, Md Rashed-Al-Mahfuz, AKM Azad, Shahadat Uddin, AHM Kamal, Salem Alyami, Ping-l Lin, Sheikh Islam, Julian Quinn, Valsamma Eapen, Mohammad Moni, "Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development." JMIR Medical Informatics, 2021. https://doi.org/10.2196/25884

Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with Cancers

Published in Journal of Personalized Medicine - Submitted, 2021

Use Google Scholar for full citation

Recommended citation: Md. Islam, Md. Islam, Md Islam, Md. Rahman, Md Mamun, AKM Azad, Mohammad Moni, "Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with Cancers." Journal of Personalized Medicine - Submitted, 2021.

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