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News/Classifier Chain-based Pathological Test Recommendation
arxiv
PublishedJuly 10, 2026 at 4:00 AM
▲bullish

Classifier Chain-based Pathological Test Recommendation

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.08299v1 Announce Type: new Abstract: Accurate and timely diagnoses are essential for quality patient care. However, delayed recommendation of diagnostic tests and physicians' subjective interpretations can hinder effective care. This study introduces a pathological test recommendation sys

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Discussion
Mentioned models
06
  • 01
    Logistic Regression
  • 02
    Decision Tree
  • 03
    Random Forest
  • 04
    Classifier Chain (CC)
  • 05
    Majority Voting ensemble model
  • 06
    SHAP (SHapley Additive Explanations)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#diagnosis#healthcare#explainability

No replies yet. Be first.

Mentioned models
06
  • 01
    Logistic Regression
  • 02
    Decision Tree
  • 03
    Random Forest
  • 04
    Classifier Chain (CC)
  • 05
    Majority Voting ensemble model
  • 06
    SHAP (SHapley Additive Explanations)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine learning#diagnosis#healthcare#explainability

Related coverage

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arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems11harxivQuery-Driven Learning for Lifted Reasoning11harxivThe Social World Model Evaluation Gap11harxivConviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models11h
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