Application of machine learning to predict the recurrence-proneness for cervical cancer
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most works in bioinformatics use SVM for classification.
“Most works in bioinformatics [41,46,47,48,49,50,51,52,53,54,55,56,57,58,59] also use SVM for classification.”
From An Efficient Classifier for Alzheimer’s Disease Genes Identification (2018) · cites this paper as [53]
The citation lists haven’t been fetched yet
References 23 · Cited by 128
- Authors
- Tseng, C.-J., Lu, C.-J., Chang, C.-C., & Chen, G.-D.
- Affiliations
- Chung Shan Medical University Hospital (TW)
- Chien Hsin University of Science and Technology (TW)
- Corresponding author
- Chang, Chi-Chang
- Venue
- Neural Computing and Applications
- Published
- 2013-02-14
- Volume
- 24
- Issue
- 6
- Pages
- 1311-1316
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2014510428
- Cited by
- 128
- References
- 23
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 14 · 2023: 17 · 2022: 20 · 2021: 23 · 2020: 16 · 2019: 6 · 2018: 7 · 2017: 7 · 2016: 1 · 2015: 1 · 2014: 2
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neural Computing and Applications (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
- Keywords
- cervical cancer, recurrence prediction, prognostic factors, risk factors, C5.0 decision tree, support vector machine, extreme learning machine, pathological stage, cell types, radiotherapy target, adjuvant therapy, cancer registry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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