{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:08:50Z","timestamp":1725797330832},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319099118"},{"type":"electronic","value":"9783319099125"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-09912-5_11","type":"book-chapter","created":{"date-parts":[[2014,7,14]],"date-time":"2014-07-14T01:29:51Z","timestamp":1405301391000},"page":"122-133","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Temporal Dependencies to Perform Automatic Prognosis"],"prefix":"10.1007","author":[{"given":"Daniel","family":"Cardoso","sequence":"first","affiliation":[]},{"given":"Cl\u00e1udia","family":"Antunes","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"7023","key":"11_CR1","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1136\/bmj.312.7023.71","volume":"312","author":"D. Sackett","year":"1996","unstructured":"Sackett, D., Rosenberg, W., Muir Gray, J., Haynes, R., Richardson, W.: Evidence based medicine: what it is and what it isn\u2019t. BMJ\u00a0312(7023), 71\u201372 (1996)","journal-title":"BMJ"},{"issue":"2","key":"11_CR2","first-page":"11","volume":"13","author":"A. Endo","year":"2008","unstructured":"Endo, A., Shibata, T., Tanaka, H.: Comparison of Seven Algorithms to Predict Breast Cancer Survival. Biomedical Soft Computing and Human Sciences\u00a013(2), 11\u201316 (2008)","journal-title":"Biomedical Soft Computing and Human Sciences"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1186\/1756-0500-4-299","volume":"4","author":"J. Maroco","year":"2011","unstructured":"Maroco, J., Silva, D., Rodrigues, A., Guerreiro, M., Santana, I., Mendon\u00e7a, A.: Data mining methods in the prediction of dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests. BMC Research Notes\u00a04, 299 (2011)","journal-title":"BMC Research Notes"},{"issue":"3","key":"11_CR4","doi-asserted-by":"crossref","first-page":"153","DOI":"10.22452\/mjcs.vol23no3.2","volume":"23","author":"S. Abdul-Kareem","year":"2010","unstructured":"Abdul-Kareem, S., Raviraja, S., Awadh, N., Kamaruzaman, A., Kajindran, A.: Classification and regression tree in prediction of survival of AIDS patients. Malaysian Journal of Computer Science\u00a023(3), 153\u2013165 (2010)","journal-title":"Malaysian Journal of Computer Science"},{"issue":"7","key":"11_CR5","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1002\/gps.2190","volume":"24","author":"M. Paradise","year":"2009","unstructured":"Paradise, M., Walker, Z., Cooper, C., Blizard, R., Regan, C.: Prediction of survival in Alzheimer\u2019s disease \u2013 The LASER-AD longitudinal study. Int\u2019l Journal of Geriatic Psychiatry\u00a024(7), 739\u2013747 (2009)","journal-title":"Int\u2019l Journal of Geriatic Psychiatry"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Zhou, J., Yuan, L., Liu, J., Ye, J.: A Multi-Task Learning Formulation for Predicting Disease Progression. In: ACM SIGKDD Int\u2019l Conf. Knowledge Discovery and Data Mining, pp. 814\u2013822 (2011)","DOI":"10.1145\/2020408.2020549"},{"issue":"3","key":"11_CR7","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/S0016-5107(05)01587-7","volume":"62","author":"E. Steyerberg","year":"2005","unstructured":"Steyerberg, E., Homs, M., Stokvis, A., Essink-Bot, M., Siersema, P., Study, G.: Stent placement or brachytherapy for palliation of dysphagia from esophageal cancer: A prognostic model to guide treatment selection. Gastrointestinal Endoscopy\u00a062(3), 333\u2013340 (2005)","journal-title":"Gastrointestinal Endoscopy"},{"issue":"2","key":"11_CR8","doi-asserted-by":"publisher","first-page":"55","DOI":"10.5121\/ijcseit.2012.2206","volume":"2","author":"S. Kharya","year":"2012","unstructured":"Kharya, S.: Using data mining techniques for diagnosis and prognosis of cancer disease. Int\u2019l Journal of Computer Science, Engineering and Information Technology (IJCSEIT)\u00a02(2), 55\u201366 (2012)","journal-title":"Int\u2019l Journal of Computer Science, Engineering and Information Technology (IJCSEIT)"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Mitsa, T.: Temporal Data Mining. Chapman & Hall \/ CRC (2010)","DOI":"10.1201\/9781420089776"},{"issue":"1","key":"11_CR10","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1111\/jth.12262","volume":"11","author":"J. Hendriksen","year":"2013","unstructured":"Hendriksen, J., Geersing, G., Moons, K., Groot, J.: Diagnostic and prognostic prediction models. Journal of Thrombosis and Haemostasis\u00a011(1), 129\u2013141 (2013)","journal-title":"Journal of Thrombosis and Haemostasis"},{"issue":"11","key":"11_CR11","doi-asserted-by":"publisher","first-page":"2380","DOI":"10.1002\/1097-0142(19801201)46:11<2380::AID-CNCR2820461113>3.0.CO;2-M","volume":"46","author":"C. Nash","year":"1980","unstructured":"Nash, C., Jones, S., Moon, T., Davis, S., Salmon, S.: Prediction of outcome in metastatic breast cancer treated with adriamycin combination chemotherapy. Cancer\u00a046(11), 2380\u20132388 (1980)","journal-title":"Cancer"},{"issue":"2","key":"11_CR12","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","volume":"34","author":"D. Cox","year":"1972","unstructured":"Cox, D.: Regression Models and Life-Tables. Journal of the Royal Statistical Society, Series B\u00a034(2), 187\u2013220 (1972)","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"11_CR13","unstructured":"Antunes, C., Oliveira, A.: Temporal Data Mining: An overview. In: 1st Workshop on Temporal Data Mining at ACM SIGKDD Int\u2019l Conf. on Knowledge Discovery and Data Mining, San Francisco, USA (2001)"},{"key":"11_CR14","unstructured":"Palit, A.K., Popovic, D.: Computational Intelligence in Time Series Forecasting: Theory and engineering applications. Springer (2005)"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Henriques, R., Antunes, C.: Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-based and Generative Models to Capture Temporal and Cross-Attribute Dependencies. In: Hawaii Int\u2019l Conf. System Sciences, BigIsland, Hawaii, USA (2014)","DOI":"10.1109\/HICSS.2014.322"},{"key":"11_CR16","unstructured":"Murphy, K.: Dynamic Bayesian Networks: Representation, Inference and Learning. UC Berkeley, Computer Science Division (2002)"},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Antunes, C.: Anticipating student\u2019s failure as soon as possible. In: Romero, C., Ventura, S., Pechenizkiy, M., Baker, R. (eds.) Handbook for Educational Data Mining, pp. 353\u2013363. CRC Press, New York (October 2010)","DOI":"10.1201\/b10274-28"},{"issue":"7","key":"11_CR18","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1016\/j.neurobiolaging.2010.10.019","volume":"33","author":"M. Ewers","year":"2012","unstructured":"Ewers, M., Walsh, C., Trojanowski, J., Shaw, L., Petersen, R., Jack, C., Feldman, H., Bokde, A., Alexander, G., Scheltens, P., Vellas, B., Dubois, B., Weiner, M., Hampel, H.: Prediction of conversion from mild cognitive impairment to Alzheimer\u2019s disease dementia based upon biomarkers and neuropsychological test performance. Neurobiology of Aging\u00a033(7), 1203\u20131214 (2012)","journal-title":"Neurobiology of Aging"},{"key":"11_CR19","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1159\/000012061","volume":"57","author":"M. Lundin","year":"1999","unstructured":"Lundin, M., Lundin, J., Burke, H., Toikkanen, S., Pylkk\u00e4nen, L., Joensuu, H.: Artificial Neural Networks Applied to Survival Prediction in Breast Cancer. Oncology\u00a057, 281\u2013286 (1999)","journal-title":"Oncology"},{"issue":"5","key":"11_CR20","first-page":"81","volume":"3","author":"K.R. Lakshmi","year":"2013","unstructured":"Lakshmi, K.R., Krishna, M., Kumar, S.: Performance comparison of data mining techniques for prediction and diagnosis of breast cancer disease survivability. Asian Journal of Computer Science and Information Technology\u00a03(5), 81\u201387 (2013)","journal-title":"Asian Journal of Computer Science and Information Technology"},{"key":"11_CR21","unstructured":"Bellaachia, A., Guven, E.: Predicting Breast Cancer Survivability using Data Mining Techniques (April 2006)"},{"issue":"1","key":"11_CR22","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1111\/j.1468-0394.2008.00480.x","volume":"26","author":"D. Delen","year":"2009","unstructured":"Delen, D.: Analysis of cancer data: A data mining approach. Expert Systems\u00a026(1), 100\u2013112 (2009)","journal-title":"Expert Systems"},{"issue":"4","key":"11_CR23","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.compbiomed.2004.02.004","volume":"35","author":"A. Kusiak","year":"2005","unstructured":"Kusiak, A., Dixon, B., Shaha, S.: Predicting survival time for kidney dialysis patients: A data mining approach. Computers in Biology and Medicine\u00a035(4), 311\u2013327 (2005)","journal-title":"Computers in Biology and Medicine"},{"issue":"1","key":"11_CR24","doi-asserted-by":"publisher","first-page":"49","DOI":"10.4258\/jksmi.2009.15.1.49","volume":"15","author":"J. Choi","year":"2009","unstructured":"Choi, J., Han, T., Park, R.: A Hybrid Bayesian Network Model for Predicting Breast Cancer Prognosis. Journal of Korean Society of Medical\u00a015(1), 49\u201357 (2009)","journal-title":"Journal of Korean Society of Medical"},{"issue":"1","key":"11_CR25","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1177\/152216280200500101","volume":"5","author":"N. Petrovsky","year":"2002","unstructured":"Petrovsky, N., Tam, S., Brusic, V., Russ, G., Socha, L., Bajic, V.: Use of Artificial Neural Networks in Improving Renal Transplantation Outcomes. Graft\u00a05(1), 6\u201313 (2002)","journal-title":"Graft"},{"issue":"4","key":"11_CR26","first-page":"487","volume":"61","author":"A. Osofisan","year":"2011","unstructured":"Osofisan, A., Adeyemo, O., Sawyerr, B., Eweje, O.: Prediction of Kidney Failure Using Artificial Neural Networks. European Journal of Scientific Research\u00a061(4), 487 (2011)","journal-title":"European Journal of Scientific Research"},{"issue":"6","key":"11_CR27","doi-asserted-by":"publisher","first-page":"1671","DOI":"10.1109\/TCBB.2010.119","volume":"8","author":"B.-Y. Sun","year":"2011","unstructured":"Sun, B.-Y., Zhu, Z.-H., Li, J., Linghu, B.: Combined Feature Selection and Cancer Prognosis Using Support Vector Machine. IEEE\/ACM Transactions on Computational Biology and Bioinformatics\u00a08(6), 1671\u20131677 (2011)","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"issue":"4","key":"11_CR28","first-page":"215","volume":"1","author":"J. Li","year":"2010","unstructured":"Li, J., Serpen, G., Selman, S., Franchetti, M., Riesen, M., Schneider, C.: Bayes Net Classifiers for Prediction of Renal Graft Status and Survival Period. Int\u2019l Journal of Medicine and Medical Sciences\u00a01(4), 215\u2013221 (2010)","journal-title":"Int\u2019l Journal of Medicine and Medical Sciences"},{"key":"11_CR29","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1007\/978-3-540-30134-9_76","volume-title":"Knowledge-Based Intelligent Information and Engineering Systems","author":"F. Shadabi","year":"2004","unstructured":"Shadabi, F., Cox, R., Sharma, D., Petrovsky, N.: Use of Artificial Neural Networks in the Prediction of Kidney Transplant Outcomes. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol.\u00a03215, pp. 566\u2013572. Springer, Heidelberg (2004)"},{"issue":"2","key":"11_CR30","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.artmed.2004.07.002","volume":"34","author":"D. Delen","year":"2005","unstructured":"Delen, D., Walker, G., Kadam, A.: Predicting breast cancer survivability: A comparison of three data mining methods. Artificial Intelligence in Medicine\u00a034(2), 113\u2013127 (2005)","journal-title":"Artificial Intelligence in Medicine"},{"issue":"12","key":"11_CR31","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.ijmedinf.2009.04.007","volume":"78","author":"A. Oztekin","year":"2009","unstructured":"Oztekin, A., Delen, D., Kong, Z.: Predicting the graft survival for heart\u2013lung transplantation patients: An integrated data mining methodology. Int\u2019l Journal of Medical Informatics\u00a078(12), 84\u201396 (2009)","journal-title":"Int\u2019l Journal of Medical Informatics"},{"issue":"8","key":"11_CR32","doi-asserted-by":"publisher","first-page":"2438","DOI":"10.1016\/j.transproceed.2012.07.006","volume":"44","author":"E.C. Ataide","year":"2012","unstructured":"Ataide, E.C., Garcia, M., Mattosinho, T.J.A.P., Almeida, J.R.S., Escanhoela, C.A.F., Boin, I.F.S.F.: Predicting Survival After Liver Transplantation Using Up-to-Seven Criteria in Patients with Hepatocellular Carcinoma. Transplantation Proceedings\u00a044(8), 2438\u20132440 (2012)","journal-title":"Transplantation Proceedings"},{"issue":"9327","key":"11_CR33","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S0140-6736(02)09411-4","volume":"360","author":"M. Egger","year":"2002","unstructured":"Egger, M., May, M., Ch\u00eane, G., Phillips, A., Ledergerber, B., Dabis, F., Costagliola, D., Monforte, A., Wolf, F., Reiss, P., Lundgren, J., Justice, A., Staszewski, S., et al.: Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: A collaborative analysis of prospective studies. The Lancet\u00a0360(9327), 119\u2013129 (2002)","journal-title":"The Lancet"},{"key":"11_CR34","unstructured":"Dom, R., Kareem, S., Abidin, B., Kamaruzaman, A., Kajindran, A.: The Prediction of AIDS Survival: A Data Mining Approach. In: WSEAS Int\u2019l Conf. Multivariate Analysis and its Application in Science and Engineering, pp. 48\u201353 (2009)"},{"issue":"2","key":"11_CR35","first-page":"28","volume":"3","author":"K.-M. Wang","year":"2012","unstructured":"Wang, K.-M., Makond, B., Wu, W.-L., Wang, K.-J., Lin, Y.: Optimal Data Mining Method For Predicting Breast Cancer Survivability. Int\u2019l Journal of Innovative Management, Information & Production\u00a03(2), 28\u201333 (2012)","journal-title":"Int\u2019l Journal of Innovative Management, Information & Production"},{"issue":"9","key":"11_CR36","doi-asserted-by":"publisher","first-page":"2951","DOI":"10.1016\/j.transproceed.2006.08.180","volume":"38","author":"Z. Hong","year":"2006","unstructured":"Hong, Z., Wu, J., Smart, G., Kaita, K., Wen, S.W., Paton, S., Dawood, M.: Survival Analysis of Liver Transplant Patients in Canada 1997\u20132002. Transplantation Proceedings\u00a038(9), 2951\u20132956 (2006)","journal-title":"Transplantation Proceedings"},{"key":"11_CR37","unstructured":"Ahn, J., Kwon, J., Lee, Y.: Prediction of 1-year Graft Survival Rates in Kidney Transplantation: A Bayesian Network Model. In: INFORMS & KORMS, pp. 505\u2013513 (2000)"}],"container-title":["Lecture Notes in Computer Science","Active Media Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-09912-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T23:16:26Z","timestamp":1717024586000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-09912-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319099118","9783319099125"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-09912-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}