Heart disease prediction with a feature-sensitized interpretable framework for the Internet of Medical Things sensors.

Bibliographic Details
Published in:Frontiers in Digital Health pp. 1 - 28
Main Authors: Kailasanathan, Nallakaruppan, Ezhilarasan, Gangadevi, Selvarajan, Shitharth, Dhanaraj, Rajesh Kumar, Pamucar, Dragan, Shankar, Nathan
Format: algorithm equations & formulas pictorial research tables/charts Journal Article
Published: Frontiers Media S.A. 2025
Online Access:View this record in EBSCOhost
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      dt: 2025
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      pub: Frontiers Media S.A.
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        10.3389/fdgth.2025.1612915
        188675463
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        atl: Heart disease prediction with a feature-sensitized interpretable framework for the Internet of Medical Things sensors.
      aug:
        au:
          Kailasanathan, Nallakaruppan
          Ezhilarasan, Gangadevi
          Selvarajan, Shitharth
          Dhanaraj, Rajesh Kumar
          Pamucar, Dragan
          Shankar, Nathan
        affil: Balaji Institute of Modern Management, Sri Balaji University, Pune, India
      sug:
        subj:
          Heart Diseases Diagnosis
          Early Diagnosis
          Internet of Things
          Conceptual Framework
          Prediction Models
          Deep Learning
          Machine Learning
          Decision Support Systems, Clinical
          Human
          Secondary Analysis
          Logistic Regression
          Decision Trees
          Support Vector Machine
          Boosting Machine Learning Algorithms
          Random Forest
          Sensitivity and Specificity
          ROC Curve
          Data Analysis Software
          Descriptive Statistics
          Heart Failure Diagnosis
          Electrocardiography
          Blood Pressure Determination
          Cloud Computing
          Angina, Stable
          Heart Rate
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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