2016
DOI: 10.4238/gmr.15028643
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Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis

Abstract: ABSTRACT. We evaluated the application of three machine learning algorithms, including logistic regression, support vector machine and back-propagation neural network, for diagnosing congenital heart disease and colorectal cancer. By inspecting related serum tumor marker levels in colorectal cancer patients and healthy subjects, early diagnosis models for colorectal cancer were built using three machine learning algorithms to assess their corresponding diagnostic values. Except for serum alpha-fetoprotein, the… Show more

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Cited by 25 publications
(24 citation statements)
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“…There were statistical significances with OS (B) in the subgroups of gender, age group (>65), T3-T4 stage, N2 stage, tumor location, venous invasion and perineural invasion, protrude type, ulcerative typ, well/moderate differentiation, postoperative chemoradiotherapy. Full-size  DOI: 10.7717/peerj.8936/ fig-4 improve the high rate of CRC on diagnosis (Kunizaki et al, 2016;Zhang et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…There were statistical significances with OS (B) in the subgroups of gender, age group (>65), T3-T4 stage, N2 stage, tumor location, venous invasion and perineural invasion, protrude type, ulcerative typ, well/moderate differentiation, postoperative chemoradiotherapy. Full-size  DOI: 10.7717/peerj.8936/ fig-4 improve the high rate of CRC on diagnosis (Kunizaki et al, 2016;Zhang et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…To the best of our knowledge, there was no a specific serum tumor marker to diagnose CRC despite of the fact that many researchers and scientists had poured great efforts in it. The combined use or supplementary application of the above known serum biomarkers was considered to be potentially effective and practical way to improve the high rate of CRC on diagnosis (Kunizaki et al 2016;Zhang et al 2016). CEA was an important serum marker for evaluating prognosis of CRC patients (Lech et al 2016).…”
Section: Discussionmentioning
confidence: 99%
“…This result implied that the combined detection of multiple tumor markers is valuable in differentiating colon cancer from non-cancerous tissue. This could effectively improve the early diagnosis rate of colon cancer[17].…”
Section: Discussionmentioning
confidence: 99%