Author

Md. Alamin Talukder

Every paper listing this name carries an ORCID.

Identified by ORCID

Md. Alamin TalukderiD2 papers · International University of Business Agriculture and Technology

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Assay:electronic health records· 1

Frequent Co-Authors

Arnisha AkhteriD· 1 shared Majdi KhalidiD· 1 shared Md. Ashraf UddiniD· 1 shared Md. Manowarul IslamiD· 1 shared Md. Sahadat Hossain· 1 shared Md. Zulfiker MahmudiD· 1 shared Mohammad Ali MoniiD· 1 shared Mohsin KaziiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Arnisha AkhterORCID

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2 papers

Recent·Most cited

BioinformaticsDigital HealthPeer-reviewedAug 21, 2024

Towards Reliable Diabetes Prediction: Innovations in Data Engineering and Machine Learning Applications

Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin…·Mohammad Ali Moni

This paper develops a machine learning model for diabetes prediction using data preprocessing and random oversampling, achieving high accuracy across multiple datasets.

32 citationstop 1%

machine learning (classical)differential expression

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMar 9, 2024

Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine Learning

Md. Sahadat Hossain, Md. Alamin Talukder, Md. Zulfiker Mahmud

This study uses machine learning to predict cardiovascular disease risk using the Heart Disease UCI dataset, achieving high accuracy with Logistic Regression and Support Vector Machine models.

7 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky