Md M. Ahamad

Gopalganj, C, Bangladesh

Last Updated: 09/26/2026

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Found 8 publications

Deep transfer learning-based bird species classification using mel spectrogram images.

Deep transfer learning-based bird species classification using mel spectrogram images.

Journal: PloS one

Published: November 13, 2023

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification.

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification.

Journal: Diagnostics (Basel, Switzerland)

Published: September 06, 2023

Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity.

Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity.

Journal: Healthcare (Basel, Switzerland)

Published: October 12, 2022

Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches.

Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches.

Journal: Journal of personalized medicine

Published: June 25, 2022

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries.

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries.

Journal: Frontiers in cardiovascular medicine

Published: December 19, 2021

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19.

Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19.

Journal: Diagnostics (Basel, Switzerland)

Published: May 31, 2021

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

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

Journal: JMIR medical informatics

Published: November 20, 2020

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

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

Journal: Expert systems with applications

Published: April 18, 2020

Showing 1-8 of 8

Last Updated: 09/26/2026