Multi-strategy feature selection and multi-model machine learning for prognostic prediction in primary gastric diffuse large B-cell lymphoma - Scorecard - MDSpire

Multi-strategy feature selection and multi-model machine learning for prognostic prediction in primary gastric diffuse large B-cell lymphoma

  • By

  • Jingjie Lin

  • Hanlei Wang

  • Huirong Lin

  • Chaowei Xu

  • May 7, 2026

  • 0 min

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Clinical Scorecard: Integrated Feature Selection and Machine Learning Approaches for Prognostic Assessment in Primary Gastric Diffuse Large B-Cell Lymphoma

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationPatients diagnosed with PG-DLBCL between 2000 and 2021, as per SEER data.
Care Setting

Key Highlights

  • Add citation for machine learning performance claims.

Guideline-Based Recommendations

Diagnosis

    Management

    • Cite specific guidelines or studies for individualized therapeutic strategies.

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Detail specific treatment outcomes associated with surgery, chemotherapy, and radiotherapy.

        Clinical Best Practices

        • best_practices

        Related Resources & Content

        Original Source(s)

        Multi-strategy feature selection and multi-model machine learning for prognostic prediction in primary gastric diffuse large B-cell lymphoma

        • by Jingjie Lin, Hanlei Wang, Huirong Lin, Chaowei Xu

        • May 7, 2026

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