ArticleCurrent oncology (Toronto, Ont.)2022
A Novel, Simple, and Low-Cost Approach for Machine Learning Screening of Kidney Cancer: An Eight-Indicator Blood Test Panel with Predictive Value for Early Diagnosis.
Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Patients' knowledge, attitudes, preferences regarding kidney cancer screening, and factors influencing participation intentions: a qualitative study.Frontiers in oncology · 2026Article
- Novel prediction model of early screening lung adenocarcinoma with pulmonary fibrosis based on haematological index.BMC cancer · 2024Article
- Artificial intelligence reveals the predictions of hematological indexes in children with acute leukemia.BMC cancer · 2024Article
- Decoding acute myocarditis in patients with COVID-19: Early detection through machine learning and hematological indices.iScience · 2024Article
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Authors and funding
3 authors.
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Abstract
Clear cell renal cell carcinoma (ccRCC) accounts for more than 90% of all renal cancers. The five-year survival rate of early-stage (TNM 1) ccRCC reaches 96%, while the advanced-stage (TNM 4) is only 23%. Therefore, early screening of patients with renal cancer is essential for the treatment of renal cancer and the long-term survival of patients. In this study, blood samples of patients were collected and a pre-defined set of blood indicators were measured. A random forest (RF) model was established to predict based on each indicator in the blood, and was trained with all relevant indicators for comprehensive predictions. In our study, we found that there was a high statistical significance (
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Registered trials
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