{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:28:40Z","timestamp":1773246520438,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031683084","type":"print"},{"value":"9783031683091","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-68309-1_20","type":"book-chapter","created":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T14:02:25Z","timestamp":1723903345000},"page":"231-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Collaborative Filtering for\u00a0the\u00a0Imputation of\u00a0Patient Reported Outcomes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3442-2401","authenticated-orcid":false,"given":"Eric Ababio","family":"Anyimadu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5264-3994","authenticated-orcid":false,"given":"Clifton David","family":"Fuller","sequence":"additional","affiliation":[]},{"given":"Xinhua","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7212-9669","authenticated-orcid":false,"given":"G. Elisabeta","family":"Marai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5873-5454","authenticated-orcid":false,"given":"Guadalupe","family":"Canahuate","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,18]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12955-019-1181-2","volume":"17","author":"OF Ayilara","year":"2019","unstructured":"Ayilara, O.F., Zhang, L., Sajobi, T.T., Sawatzky, R., Bohm, E., Lix, L.M.: Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry. Health Qual. Life Outcomes 17, 1\u20139 (2019)","journal-title":"Health Qual. Life Outcomes"},{"issue":"5","key":"20_CR2","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1177\/0962280213476378","volume":"23","author":"ML Bell","year":"2014","unstructured":"Bell, M.L., Fairclough, D.L.: Practical and statistical issues in missing data for longitudinal patient-reported outcomes. Stat. Methods Med. Res. 23(5), 440\u2013459 (2014)","journal-title":"Stat. Methods Med. Res."},{"key":"20_CR3","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1186\/s12911-016-0318-z","volume":"16","author":"L Beretta","year":"2016","unstructured":"Beretta, L., Santaniello, A.: Nearest neighbor imputation algorithms: a critical evaluation. BMC Med. Inform. Decis. Mak. 16, 197\u2013208 (2016)","journal-title":"BMC Med. Inform. Decis. Mak."},{"issue":"9","key":"20_CR4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006376","volume":"14","author":"N Bhagwat","year":"2018","unstructured":"Bhagwat, N., Viviano, J.D., Voineskos, A.N., Chakravarty, M.M., Initiative, A.D.N., et al.: Modeling and prediction of clinical symptom trajectories in Alzheimer\u2019s disease using longitudinal data. PLoS Comput. Biol. 14(9), e1006376 (2018)","journal-title":"PLoS Comput. Biol."},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Caiafa, C.F., Sun, Z., Tanaka, T., Marti-Puig, P., Sol\u00e9-Casals, J.: Machine learning methods with noisy, incomplete or small datasets (2021)","DOI":"10.3390\/app11094132"},{"key":"20_CR6","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.ejon.2018.01.014","volume":"35","author":"S Chiang","year":"2018","unstructured":"Chiang, S., Ho, K., Wang, S.Y., Lin, C.: Change in symptom clusters in head and neck cancer patients undergoing postoperative radiotherapy: a longitudinal study. Eur. J. Oncol. Nurs. 35, 62\u201366 (2018)","journal-title":"Eur. J. Oncol. Nurs."},{"issue":"1","key":"20_CR7","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/s40537-022-00578-3","volume":"9","author":"T Gangil","year":"2022","unstructured":"Gangil, T., Shahabuddin, A.B., Dinesh Rao, B., Palanisamy, K., Chakrabarti, B., Sharan, K.: Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms. J. Big Data 9(1), 25 (2022)","journal-title":"J. Big Data"},{"issue":"14","key":"20_CR8","doi-asserted-by":"publisher","first-page":"5481","DOI":"10.5194\/gmd-15-5481-2022","volume":"15","author":"TO Hodson","year":"2022","unstructured":"Hodson, T.O.: Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not. Geosci. Model Dev. 15(14), 5481\u20135487 (2022)","journal-title":"Geosci. Model Dev."},{"key":"20_CR9","doi-asserted-by":"publisher","unstructured":"Jain, G., Mahara, T., Tripathi, K.N.: A survey of similarity measures for collaborative filtering-based recommender system. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds.) Soft Computing: Theories and Applications: Proceedings of SoCTA 2018, pp. 343\u2013352. Springer, Heidelberg (2020). https:\/\/doi.org\/10.1007\/978-981-15-0751-9_32","DOI":"10.1007\/978-981-15-0751-9_32"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Koren, Y., Rendle, S., Bell, R.: Advances in collaborative filtering. In: Recommender Systems Handbook, pp. 91\u2013142 (2021)","DOI":"10.1007\/978-1-0716-2197-4_3"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.radonc.2021.04.011","volume":"160","author":"HP van der Laan","year":"2021","unstructured":"van der Laan, H.P., Van den Bosch, L., Schuit, E., Steenbakkers, R.J., van der Schaaf, A., Langendijk, J.A.: Impact of radiation-induced toxicities on quality of life of patients treated for head and neck cancer. Radiother. Oncol. 160, 47\u201353 (2021)","journal-title":"Radiother. Oncol."},{"key":"20_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejon.2020.101819","volume":"48","author":"Y Li","year":"2020","unstructured":"Li, Y., et al.: Symptom clusters in head and neck cancer patients with endotracheal tube: Which symptom clusters are independently associated with health-related quality of life? Eur. J. Oncol. Nurs. 48, 101819 (2020)","journal-title":"Eur. J. Oncol. Nurs."},{"issue":"6","key":"20_CR13","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1093\/jamia\/ocx133","volume":"25","author":"Y Luo","year":"2018","unstructured":"Luo, Y., Szolovits, P., Dighe, A.S., Baron, J.M.: 3D-mice: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J. Am. Med. Inform. Assoc. 25(6), 645\u2013653 (2018)","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":", Ma, H., King, I., Lyu, M.R.: Effective missing data prediction for collaborative filtering. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 39\u201346 (2007)","DOI":"10.1145\/1277741.1277751"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Mathew, A., et al.: Symptom clusters in head and neck cancer: a systematic review and conceptual model. In: Seminars in Oncology Nursing, vol.\u00a037, p. 151215. Elsevier (2021)","DOI":"10.1016\/j.soncn.2021.151215"},{"key":"20_CR16","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1007\/s00268-003-7117-2","volume":"27","author":"RP Morton","year":"2003","unstructured":"Morton, R.P., Izzard, M.E.: Quality-of-life outcomes in head and neck cancer patients. World J. Surg. 27, 884\u2013889 (2003)","journal-title":"World J. Surg."},{"issue":"4","key":"20_CR17","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1001\/jamaoto.2021.4555","volume":"148","author":"CW Noel","year":"2022","unstructured":"Noel, C.W., et al.: Enhancing outpatient symptom management in patients with head and neck cancer: a qualitative analysis. JAMA Otolaryngol.-Head Neck Surg. 148(4), 333\u2013341 (2022)","journal-title":"JAMA Otolaryngol.-Head Neck Surg."},{"issue":"4","key":"20_CR18","first-page":"7","volume":"175","author":"K Potdar","year":"2017","unstructured":"Potdar, K., Pardawala, T.S., Pai, C.D.: A comparative study of categorical variable encoding techniques for neural network classifiers. Int. J. Comput. Appl. 175(4), 7\u20139 (2017)","journal-title":"Int. J. Comput. Appl."},{"key":"20_CR19","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-981-13-6347-4_2","volume":"1","author":"SK Raghuwanshi","year":"2019","unstructured":"Raghuwanshi, S.K., Pateriya, R.: Collaborative filtering techniques in recommendation systems. Data Eng. Appl. 1, 11\u201321 (2019)","journal-title":"Data Eng. Appl."},{"issue":"10","key":"20_CR20","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1002\/hed.20602","volume":"29","author":"DI Rosenthal","year":"2007","unstructured":"Rosenthal, D.I., et al.: Measuring head and neck cancer symptom burden: the development and validation of the md Anderson symptom inventory, head and neck module. Head Neck: J. Sci. Special. Head Neck 29(10), 923\u2013931 (2007)","journal-title":"Head Neck: J. Sci. Special. Head Neck"},{"key":"20_CR21","doi-asserted-by":"publisher","first-page":"2331","DOI":"10.1007\/s11136-013-0380-2","volume":"22","author":"Q Shi","year":"2013","unstructured":"Shi, Q., Mendoza, T.R., Gunn, G.B., Wang, X.S., Rosenthal, D.I., Cleeland, C.S.: Using group-based trajectory modeling to examine heterogeneity of symptom burden in patients with head and neck cancer undergoing aggressive non-surgical therapy. Qual. Life Res. 22, 2331\u20132339 (2013)","journal-title":"Qual. Life Res."},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Su, X., Khoshgoftaar, T.M.: A survey of collaborative filtering techniques. Adv. Artif. Intell. 2009 (2009)","DOI":"10.1155\/2009\/421425"},{"issue":"3","key":"20_CR23","first-page":"2157","volume":"8","author":"BW Wang","year":"2012","unstructured":"Wang, B.W., Tseng, V.S., et al.: Improving missing-value estimation in microarray data with collaborative filtering based on rough-set theory. Int. J. Innov. Comput. Inf. Control 8(3), 2157\u20132172 (2012)","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"key":"20_CR24","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. In: Proceedings of the 25th International Database Engineering & Applications Symposium, pp. 273\u2013279 (2021)","DOI":"10.1145\/3472163.3472177"},{"issue":"6","key":"20_CR25","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1093\/jamia\/ocx071","volume":"24","author":"GM Weber","year":"2017","unstructured":"Weber, G.M., et al.: Biases introduced by filtering electronic health records for patients with \u201ccomplete data\". J. Am. Med. Inform. Assoc. 24(6), 1134\u20131141 (2017)","journal-title":"J. Am. Med. Inform. Assoc."},{"issue":"4","key":"20_CR26","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.oraloncology.2012.10.004","volume":"49","author":"C Xiao","year":"2013","unstructured":"Xiao, C., et al.: Symptom clusters in patients with head and neck cancer receiving concurrent chemoradiotherapy. Oral Oncol. 49(4), 360\u2013366 (2013)","journal-title":"Oral Oncol."}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-68309-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T14:04:28Z","timestamp":1723903468000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-68309-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031683084","9783031683091"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-68309-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"18 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Naples","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dexa2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}