{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:42:53Z","timestamp":1742992973084,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030845315"},{"type":"electronic","value":"9783030845322"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-84532-2_49","type":"book-chapter","created":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T23:04:24Z","timestamp":1628463864000},"page":"549-560","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data"],"prefix":"10.1007","author":[{"given":"Zhong-Si","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han-Jing","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhan-Heng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,9]]},"reference":[{"key":"49_CR1","doi-asserted-by":"crossref","unstructured":"Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R.L., Torre, L.A., Jemal, A.: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 68(6), 394\u2013424 (2018)","DOI":"10.3322\/caac.21492"},{"issue":"8","key":"49_CR2","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1038\/nrc3775","volume":"14","author":"Z Chen","year":"2014","unstructured":"Chen, Z., Fillmore, C.M., Hammerman, P.S., Kim, C.F., Wong, K.K.: Non-small-cell lung cancers: a heterogeneous set of diseases. Nat. Rev. Cancer 14(8), 535\u2013546 (2014)","journal-title":"Nat. Rev. Cancer"},{"issue":"5","key":"49_CR3","doi-asserted-by":"publisher","first-page":"593","DOI":"10.21037\/tlcr.2019.09.19","volume":"8","author":"J Taugner","year":"2019","unstructured":"Taugner, J., et al.: Survival score to characterize prognosis in inoperable stage III NSCLC after chemoradiotherapy. Transl. Lung Cancer Res. 8(5), 593 (2019)","journal-title":"Transl. Lung Cancer Res."},{"key":"49_CR4","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-319-40389-2_3","volume":"170","author":"GA Woodard","year":"2016","unstructured":"Woodard, G.A., Jones, K.D., Jablons, D.M.: Lung cancer staging and prognosis. Lung Cancer 170, 47\u201375 (2016)","journal-title":"Lung Cancer"},{"issue":"282","key":"49_CR5","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1080\/01621459.1958.10501452","volume":"53","author":"EL Kaplan","year":"1958","unstructured":"Kaplan, E.L., Meier, P.: Nonparametric estimation from incomplete observations. J. Am. Stat. Assoc. 53(282), 457\u2013481 (1958)","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"49_CR6","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","volume":"34","author":"DR Cox","year":"1972","unstructured":"Cox, D.R.: Regression models and life-tables. J. Roy. Stat. Soc.: Ser. B (Methodol.) 34(2), 187\u2013202 (1972)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"issue":"8","key":"49_CR7","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1038\/nm733","volume":"8","author":"DG Beer","year":"2002","unstructured":"Beer, D.G., et al.: Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat. Med. 8(8), 816\u2013824 (2002)","journal-title":"Nat. Med."},{"key":"49_CR8","doi-asserted-by":"publisher","first-page":"4140","DOI":"10.1200\/JCO.2012.48.5516","volume":"31","author":"J Sandoval","year":"2013","unstructured":"Sandoval, J., et al.: A prognostic DNA methylation signature for stage I non-small-cell lung cancer. J. Clin. Oncol. 31, 4140\u20134147 (2013)","journal-title":"J. Clin. Oncol."},{"issue":"3","key":"49_CR9","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.ccr.2006.01.025","volume":"9","author":"N Yanaihara","year":"2006","unstructured":"Yanaihara, N., et al.: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell 9(3), 189\u2013198 (2006)","journal-title":"Cancer Cell"},{"issue":"11","key":"49_CR10","doi-asserted-by":"publisher","first-page":"2280","DOI":"10.1111\/j.1349-7006.2008.00916.x","volume":"99","author":"K Okuda","year":"2008","unstructured":"Okuda, K., Sasaki, H., Yukiue, H., Yano, M., Fujii, Y.: Met gene copy number predicts the prognosis for completely resected non-small cell lung cancer. Cancer Sci. 99(11), 2280\u20132285 (2008)","journal-title":"Cancer Sci."},{"issue":"9","key":"49_CR11","doi-asserted-by":"publisher","first-page":"2171","DOI":"10.1002\/cam4.774","volume":"5","author":"J Yin","year":"2016","unstructured":"Yin, J., et al.: Copy-number variation of MCL1 predicts overall survival of non-small-cell lung cancer in a Southern Chinese population. Cancer Med. 5(9), 2171\u20132179 (2016)","journal-title":"Cancer Med."},{"key":"49_CR12","unstructured":"Goodfellow, I., Bengio, Y., Courville, A., Bengio, Y.: Deep Learning, vol. 1, no. 2. MIT press, Cambridge (2016)"},{"key":"49_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compbiomed.2014.02.006","volume":"48","author":"YC Chen","year":"2014","unstructured":"Chen, Y.C., Ke, W.C., Chiu, H.W.: Risk classification of cancer survival using ANN with gene expression data from multiple laboratories. Comput. Biol. Med. 48, 1\u20137 (2014)","journal-title":"Comput. Biol. Med."},{"issue":"3","key":"49_CR14","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1109\/TCBB.2018.2806438","volume":"16","author":"D Sun","year":"2018","unstructured":"Sun, D., Wang, M., Li, A.: A multimodal deep neural network for human breast cancer prognosis prediction by integrating multi-dimensional data. IEEE\/ACM Trans. Comput. Biol. Bioinf. 16(3), 841\u2013850 (2018)","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinf."},{"key":"49_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-56847-4","volume":"10","author":"YH Lai","year":"2020","unstructured":"Lai, Y.H., Chen, W.N., Hsu, T.C., Lin, C., Tsao, Y., Wu, S.: Overall survival prediction of non-small-cell lung cancer by integrating microarray and clinical data with deep learning. Sci. Rep. 10, 1\u201311 (2020)","journal-title":"Sci. Rep."},{"issue":"1","key":"49_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12885-020-07763-8","volume":"21","author":"K Yang","year":"2021","unstructured":"Yang, K., Wu, Y.: A prognosis-related molecular subtype for early-stage non-small-cell lung cell carcinoma by multinomics integration analysis. BMC Cancer 21(1), 1\u20138 (2021)","journal-title":"BMC Cancer"},{"key":"49_CR17","unstructured":"Categorical Encoding Using Label-Encoding and One-Hot-Encoder. https:\/\/towardsdatascience.com\/categorical-encoding-using-label-encoding-and-one-hot-encoder-911ef77fb5bd, Accessed 21 Mar 2021"},{"key":"49_CR18","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"49_CR19","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"49_CR20","unstructured":"Tan, M., Le, Q.: Efficientnet: Rethinking model scaling for convolutional neural networks. In: Proceedings of International Conference on Machine Learning, Long Beach, pp. 6105\u20136114 (2019)"},{"key":"49_CR21","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Doll\u00e1r, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, pp. 1492\u20131500 (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"49_CR22","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: International Conference on Machine Learning, Haifa (2010)."},{"key":"49_CR23","unstructured":"Ioffe, S., Szegedy, C.: Batch normalization: accelerating deep network training by reducing internal covariate shift. In: International Conference on Machine Learning, pp. 448\u2013456. PMLR, Lille (2015)"},{"key":"49_CR24","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization (2017). arXiv preprint arXiv:1711.05101"},{"key":"49_CR25","doi-asserted-by":"publisher","first-page":"1030","DOI":"10.3389\/fonc.2020.01030","volume":"10","author":"G Nicora","year":"2020","unstructured":"Nicora, G., Vitali, F., Dagliati, A., Geifman, N., Bellazzi, R.: Integrated multi-omics analyses in oncology: a review of machine learning methods and tools. Front. Oncol. 10, 1030 (2020)","journal-title":"Front. Oncol."},{"key":"49_CR26","doi-asserted-by":"publisher","unstructured":"Bridle, J.S.: Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition. In: Neurocomputing, pp. 227\u2013236. Springer, Heidelberg (1990). https:\/\/doi.org\/10.1007\/978-3-642-76153-9_28","DOI":"10.1007\/978-3-642-76153-9_28"},{"issue":"8","key":"49_CR27","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1038\/s41591-019-0508-1","volume":"25","author":"G Campanella","year":"2019","unstructured":"Campanella, G., et al.: Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat. Med. 25(8), 1301\u20131309 (2019)","journal-title":"Nat. Med."},{"issue":"3","key":"49_CR28","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/j.jtho.2016.10.017","volume":"12","author":"X Luo","year":"2017","unstructured":"Luo, X., et al.: Comprehensive computational pathological image analysis predicts lung cancer prognosis. J. Thorac. Oncol. 12(3), 501\u2013509 (2017)","journal-title":"J. Thorac. Oncol."},{"issue":"1","key":"49_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-15-S12-S1","volume":"15","author":"H Wang","year":"2014","unstructured":"Wang, H., Xing, F., Su, H., Stromberg, A., Yang, L.: Novel image markers for non-small-cell lung cancer classification and survival prediction. BMC Bioinf. 15(1), 1\u201312 (2014)","journal-title":"BMC Bioinf."},{"issue":"55","key":"49_CR30","first-page":"1","volume":"20","author":"T Elsken","year":"2019","unstructured":"Elsken, T., Metzen, J.H., Hutter, F.: Neural architecture search: a survey. J. Mach. Learn. Res. 20(55), 1\u201321 (2019)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-84532-2_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T01:56:48Z","timestamp":1725587808000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-84532-2_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030845315","9783030845322"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-84532-2_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2021a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2021\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}