Anurag Bhatt

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Publications (11)

• Privacy-Preserving Distributed Machine Learning And Federated Ai Systems For Healthcare And Financial Applications
  INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES 2026 DOI: 10.29284/pa1apf13
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• Early-Stage Cardiovascular Disease Prediction Using a Sigmoidtropy-Based Decision Tree
  International Journal of Statistics in Medical Research 2025 DOI: 10.6000/1929-6029.2025.14.77
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• LEVERAGING DATA MINING FOR PREDICTIVE INSIGHTS INTO CARDIOVASCULAR HEALTH RISKS
  Journal of Applied Bioanalysis 2025 DOI: 10.53555/jab.v11si2.516
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• ANALYTICAL STUDY OF THE CARDIOVASCULAR HEALTH KEY INDICATORS TOWARDS PROACTIVE FORECASTING OF HEART DISEASE USING DATA MINING METHODS
  Indian Academicians and Researchers Association (IARA) 2025 DOI: 10.5281/ZENODO.15646910
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• Early Prediction of Cardiovascular Disease Among Young Adults Through Coronary Artery Calcium Score Technique
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-3-030-88244-0_29
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• Systematic cardiovascular health analysis of rural and urban residents for early prediction of cardiac ailments
  Proceedings of the Confluence 2021: 11th International Conference on Cloud Computing, Data Science and Engineering 2021 DOI: 10.1109/Confluence51648.2021.9377092
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• Age-gender analysis of coronary artery calcium (CAC) score to predict early cardiovascular diseases
  Proceedings of the Confluence 2020 - 10th International Conference on Cloud Computing, Data Science and Engineering 2020 DOI: 10.1109/Confluence47617.2020.9058151
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• Proposed Model/Framework to Avoid Sudden Cardiac Arrest (SCA) and Sudden Cardiac Death (SCD) at Early Stage
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-0751-9_63
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• Analytical study on cardiovascular health issues prediction using decision model-based predictive analytic techniques
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-10-5699-4_28
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• Data mining approach to predict and analyze the cardiovascular disease
  Advances in Intelligent Systems and Computing 2017 DOI: 10.1007/978-981-10-3153-3_12
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