Enhancing Machine Learning Classifier Efficiency for Heart Disease Prediction Through Bacterial Colony Optimization - Top-Institutions - MDSpire

Enhancing Machine Learning Classifier Efficiency for Heart Disease Prediction Through Bacterial Colony Optimization

  • By

  • Tanver Ahmed

  • Md. Muktar Hossain

  • Mohammad Kasedullah

  • Md. Toufikul Islam

  • A. S. M Delwar Hossain

  • Masud Ibn Afjal

  • January 1, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Cardiology
    • Biomedical Informatics
    • Machine Learning

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiology
    • Clinical Research
    • Artificial Intelligence

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Cardiology
    • Biomedical Engineering
    • Data Science

  • #4

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Cardiology
    • Computational Medicine
    • Artificial Intelligence

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Cardiology
    • Artificial Intelligence
    • Biomedical Informatics

Original Source(s)

Enhancing Machine Learning Classifier Efficiency for Heart Disease Prediction Through Bacterial Colony Optimization

  • by Tanver Ahmed, Md. Muktar Hossain, Mohammad Kasedullah, Md. Toufikul Islam, A. S. M Delwar Hossain, Masud Ibn Afjal

  • January 1, 2026

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