ArticleOncotarget2017
Development of diagnostic model of lung cancer based on multiple tumor markers and data mining.
Article in Oncotarget, 2017. 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, 8 citations in OpenAlex.
- Using data mining technology to predict medication-taking behaviour in women with breast cancer: A retrospective study.Nursing open · 2022Article
- A data mining based clinical decision support system for survival in lung cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2021Article
- Urinary peptide panel for prognostic assessment of bladder cancer relapse.Scientific reports · 2019Article
- Diagnostic Value of Plasma MicroRNAs for Lung Cancer Using Support Vector Machine Model.Journal of Cancer · 2019Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop early intelligent discriminative model of lung cancer and evaluate the efficiency of diagnosis value.
methodsBased on the genetic polymorphism profile of CYP1A1-rs1048943, GSTM1, mEH-rs1051740, XRCC1-rs1799782 and XRCC1-rs25489 and the methylations of p16 and RASSF1A gene, and the length of telomere in the peripheral blood from 200 lung cancer patients and 200 health persons, the discriminative model was established through decision tree and ANN technique.
resultsACU of the discriminative model based on multiple tumour markers increased by about 10%; The accuracy rate of decision tree model and ANN model for testing set were 93.00% and 89.62% respectively. The ROC analysis showed the decision tree model's AUC is 0.929 (0.894∼0.964), the ANN model's AUC is 0.894 (0.853∼0.935). However, the classify accuracy rate and AUC of Fisher discriminatory analysis model are all about 0.7.
conclusionThe early intelligent discriminative model of lung cancer based on multiple tumor markers and data mining techniques has a higher accuracy rate and might be useful for early diagnosis of lung cancer.
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Registered trials
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