{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T23:21:11Z","timestamp":1772234471228,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T00:00:00Z","timestamp":1536192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP18K18115"],"award-info":[{"award-number":["JP18K18115"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Prediction in health care is closely related with the decision-making process. On the one hand, accurate survivability prediction can help physicians decide between palliative care or other practice for a patient. On the other hand, the notion of remaining lifetime can be an incentive for patients to live a fuller and more fulfilling life. This work presents a pipeline for the development of survivability prediction models and a system that provides survivability predictions for years one to five after the treatment of patients with colon or rectal cancer. The functionalities of the system are made available through a tool that balances the number of necessary inputs and prediction performance. It is mobile-friendly and facilitates the access of health care professionals to an instrument capable of enriching their practice and improving outcomes. The performance of survivability models was compared with other existing works in the literature and found to be an improvement over the current state of the art. The underlying system is capable of recalculating its prediction models upon the addition of new data, continuously evolving as time passes.<\/jats:p>","DOI":"10.3390\/s18092983","type":"journal-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T11:47:41Z","timestamp":1536320861000},"page":"2983","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Survivability Prediction of Colorectal Cancer Patients: A System with Evolving Features for Continuous Improvement"],"prefix":"10.3390","volume":"18","author":[{"given":"Tiago","family":"Oliveira","sequence":"first","affiliation":[{"name":"National Institute of Informatics, Tokyo 100-0003, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8718-0918","authenticated-orcid":false,"given":"Ana","family":"Silva","sequence":"additional","affiliation":[{"name":"Algoritmi Centre\/Department of Informatic, University of Minho, 4710-057 Braga, Portugal"}]},{"given":"Ken","family":"Satoh","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Tokyo 100-0003, Japan"}]},{"given":"Vicente","family":"Julian","sequence":"additional","affiliation":[{"name":"Department of Systems and Computation, Universitat Polit\u00e9cnica de Val\u00e8ncia, Valencia 46022, Spain"}]},{"given":"Pedro","family":"Le\u00e3o","sequence":"additional","affiliation":[{"name":"ICVS\/3B\u2019s, University of Minho, 4710-057 Braga, Portugal"}]},{"given":"Paulo","family":"Novais","sequence":"additional","affiliation":[{"name":"Algoritmi Centre\/Department of Informatic, University of Minho, 4710-057 Braga, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,6]]},"reference":[{"key":"ref_1","unstructured":"(2018, February 22). National Cancer Institute, Available online: http:\/\/www.cancer.gov\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"778","DOI":"10.6004\/jnccn.2009.0056","article-title":"NCCN Clinical Practice Guidelines in Oncology: Colon cancer","volume":"7","author":"Engstrom","year":"2009","journal-title":"J. Natl. Compr. Cancer Netw."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"84","DOI":"10.3747\/co.21.1743","article-title":"Can oncologists predict survival for patients with progressive disease after standard chemotherapies?","volume":"21","author":"Taniyama","year":"2014","journal-title":"Curr. Oncol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"274","DOI":"10.4103\/0974-7788.76794","article-title":"Understanding survival analysis: Kaplan-Meier estimate","volume":"1","author":"Goel","year":"2010","journal-title":"Int. J. Ayurveda Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/978-3-319-40114-0_10","article-title":"Developing an individualized survival prediction model for colon cancer","volume":"Volume 476","author":"Silva","year":"2016","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"ref_6","unstructured":"National Cancer Institute (2012, January 10). Surveillance, Epidemiology and End Results Program, Available online: http:\/\/seer.cancer.gov\/data\/."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","article-title":"The meaning and use of the area under a receiver operating characteristic (ROC) curve","volume":"143","author":"Hanley","year":"1982","journal-title":"Radiology"},{"key":"ref_8","unstructured":"Bush, D.M., and Michaelson, J.S. (Derivation: Nodes + PrognosticFactors Equation for Colon Cancer Accuracy of the Nodes + PrognosticFactors Equation, 2009). Derivation: Nodes + PrognosticFactors Equation for Colon Cancer Accuracy of the Nodes + PrognosticFactors Equation, Technical Report."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3163","DOI":"10.1200\/JCO.2010.33.1595","article-title":"Nomograms for Predicting Local Recurrence, Distant Metastases, and Overall Survival for Patients with Locally Advanced Rectal Cancer on the Basis of European Randomized Clinical Trials","volume":"29","author":"Valentini","year":"2011","journal-title":"J. Clin. Oncol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"dju333","DOI":"10.1093\/jnci\/dju333","article-title":"ACCENT-based web calculators to predict recurrence and overall survival in stage III colon cancer","volume":"106","author":"Renfro","year":"2014","journal-title":"J. Natl. Cancer Inst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4796","DOI":"10.1200\/JCO.2011.36.5080","article-title":"Predicting survival after curative colectomy for cancer: Individualizing colon cancer staging","volume":"29","author":"Weiser","year":"2011","journal-title":"J. Clin. Oncol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5938","DOI":"10.1200\/JCO.2009.23.1860","article-title":"Practical application of a calculator for conditional survival in colon cancer","volume":"27","author":"Chang","year":"2009","journal-title":"J. Clin. Oncol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Al-Bahrani, R., Agrawal, A., and Choudhary, A. (2013, January 6\u20139). Colon cancer survival prediction using ensemble data mining on SEER data. Proceedings of the 2013 IEEE International Conference on Big Data, Silicon Valley, CA, USA.","DOI":"10.1109\/BigData.2013.6691752"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Al-Bahrani, R., Agrawal, A., and Choudhary, A. (2017). Survivability prediction of colon cancer patients using neural networks. Health Inform. J.","DOI":"10.1177\/1460458217720395"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1547","DOI":"10.1245\/s10434-010-1512-3","article-title":"An Interactive Tool for Individualized Estimation of Conditional Survival in Rectal Cancer","volume":"18","author":"Wang","year":"2011","journal-title":"Ann. Surg. Oncol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.csbj.2014.11.005","article-title":"Machine learning applications in cancer prognosis and prediction","volume":"13","author":"Kourou","year":"2015","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"ref_17","unstructured":"Benson, A., Bekaii-Saab, T., Chan, E., Chen, Y.J., Choti, M., Cooper, H., and Engstrom, P. (2013). NCCN Clinical Practice Guideline in Oncology Colon Cancer, National Comprehensive Cancer Network. Technical Report."},{"key":"ref_18","unstructured":"Benson, A., Bekaii-Saab, T., Chan, E., Chen, Y.J., Choti, M., Cooper, H., and Engstrom, P. (2013). NCCN Clinical Practice Guideline in Oncology Rectal Cancer, National Comprehensive Cancer Network. Technical Report."},{"key":"ref_19","unstructured":"Han, J., E, H., Le, G., and Du, J. (2011, January 26\u201328). Survey on NoSQL Database. Proceedings of the 2011 6th International Conference on Pervasive Computing and Applications, Port Elizabeth, South Africa."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zafar, R., Yafi, E., Zuhairi, M.F., and Dao, H. (2016, January 16\u201317). Big Data: The NoSQL and RDBMS review. Proceedings of the 2016 International Conference on Information and Communication Technology (ICICTM), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICICTM.2016.7890788"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Bray, T. (2017). The JavaScript Object Notation (JSON) Data Interchange Format, Internet Engineering Task Force (IETF). Technical Report.","DOI":"10.17487\/RFC8259"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Chawla, N.V. (2005). Data Mining for Imbalanced Datasets: An Overview. Data Mining and Knowledge Discovery Handbook, Springer.","DOI":"10.1007\/0-387-25465-X_40"},{"key":"ref_23","first-page":"42","article-title":"An overview of classification algorithms for imbalanced datasets","volume":"2","author":"Ganganwar","year":"2012","journal-title":"Int. J. Emerg. Technol. Adv. Eng."},{"key":"ref_24","unstructured":"RapidMiner (2018, January 03). RapidMiner Documentation: Operator Reference Guide. Available online: https:\/\/docs.rapidminer.com\/latest\/studio\/operators\/."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/BF00058655","article-title":"Bagging Predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Mach. Learn."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","article-title":"A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting","volume":"55","author":"Freund","year":"1997","journal-title":"J. Comput. Syst. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","article-title":"Is Combining Classifiers with Stacking Better than Selecting the Best One?","volume":"54","year":"2004","journal-title":"Mach. Learn."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1007\/BF01238023","article-title":"Combining classifiers: A theoretical framework","volume":"1","author":"Kittler","year":"1998","journal-title":"Pattern Anal. Appl."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","article-title":"The use of the area under the ROC curve in the evaluation of machine learning algorithms","volume":"30","author":"Bradley","year":"1997","journal-title":"Pattern Recognit."},{"key":"ref_30","unstructured":"Powers, D.M.W. (2015). What the F-Measure Doesn\u2019t Measure, Flinders University. Technical Report."},{"key":"ref_31","first-page":"356","article-title":"Mobile devices and apps for health care professionals: Uses and benefits","volume":"39","author":"Ventola","year":"2014","journal-title":"Pharm. Ther."},{"key":"ref_32","unstructured":"Erl, T. (2005). Service-Oriented Architecture, Pearson."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s00778-007-0044-3","article-title":"Service oriented architectures: Approaches, technologies and research issues","volume":"16","author":"Papazoglou","year":"2007","journal-title":"VLDB J."},{"key":"ref_34","unstructured":"Castillo, P.A., Bernier, J.L., Arenas, M.G., Merelo Guerv\u00f3s, J.J., and Garc\u00eda-S\u00e1nchez, P. (arXiv, 2011). SOAP vs REST: Comparing a master-slave GA implementation, arXiv."},{"key":"ref_35","unstructured":"Mongo, D.B. (2018, September 06). Top 5 Considerations When Evaluating NoSQL Databases. Available online: https:\/\/www.ascent.tech\/wp-content\/uploads\/documents\/mongodb\/10gen-top-5-nosql-considerations-february-2015.pdf."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/9\/2983\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:19:15Z","timestamp":1760195955000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/9\/2983"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,6]]},"references-count":35,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["s18092983"],"URL":"https:\/\/doi.org\/10.3390\/s18092983","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,6]]}}}