Evaluation of coronary heart disease risk prediction based on simple physical examination parameters by machine learning model: a retrospective cohort model development and validation study - Scorecard - MDSpire

Evaluation of coronary heart disease risk prediction based on simple physical examination parameters by machine learning model: a retrospective cohort model development and validation study

  • By

  • Hui Xiong

  • Xiang Cao

  • Xiao Han

  • Jia-Xing Zhang

  • Jia-Rui Zhuang

  • Shuai He

  • Min Zhu

  • Ji Li

  • Wei Qin

  • April 30, 2026

  • 0 min

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Clinical Scorecard: Development and Validation of a Machine Learning Model for Predicting Coronary Heart Disease Risk Using Basic Physical Examination Metrics: A Retrospective Cohort Analysis

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationAdults with existing risk factors for coronary heart disease.
Care Setting

Key Highlights

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Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

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      Risks

        Patient & Prescribing Data

        Expand on pharmacological interventions based on risk stratification.

        Clinical Best Practices

        • examples

        References

        Original Source(s)

        Evaluation of coronary heart disease risk prediction based on simple physical examination parameters by machine learning model: a retrospective cohort model development and validation study

        • by Hui Xiong, Xiang Cao, Xiao Han, Jia-Xing Zhang, Jia-Rui Zhuang, Shuai He, Min Zhu, Ji Li, Wei Qin

        • April 30, 2026

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