{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T09:27:23Z","timestamp":1751621243602,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Union?s Horizon 2020 research and innovation programme","award":["875351"],"award-info":[{"award-number":["875351"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1145\/3444757.3485103","type":"proceedings-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T11:16:14Z","timestamp":1636456574000},"page":"35-42","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients"],"prefix":"10.1145","author":[{"given":"Milo\u0161","family":"Savi\u0107","sequence":"first","affiliation":[{"name":"Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia"}]},{"given":"Vladimir","family":"Kurbalija","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia"}]},{"given":"Mihailo","family":"Ili\u0107","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia"}]},{"given":"Mirjana","family":"Ivanovi\u0107","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia"}]},{"given":"Du\u0161an","family":"Jakoveti\u0107","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia"}]},{"given":"Antonios","family":"Valachis","sequence":"additional","affiliation":[{"name":"Department of Oncology, Faculty of Medicine and Health, \u00d6rebro University SE 70182 \u00d6rebro, Sweden"}]},{"given":"Serge","family":"Autexier","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence GmbH, Cyber-Physical Systems Bremen, Germany"}]},{"given":"Johannes","family":"Rust","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence GmbH, Cyber-Physical Systems Bremen, Germany"}]},{"given":"Thanos","family":"Kosmidis","sequence":"additional","affiliation":[{"name":"Care Across Ltd London, England"}]}],"member":"320","published-online":{"date-parts":[[2021,11,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"e_1_3_2_1_2_1","volume-title":"MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software 45 (12","author":"Buuren Stef","year":"2011","unstructured":"Stef Buuren and Catharina Groothuis-Oudshoorn . 2011 . MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software 45 (12 2011). https:\/\/doi.org\/10.18637\/jss.v045.i03 10.18637\/jss.v045.i03 Stef Buuren and Catharina Groothuis-Oudshoorn. 2011. MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software 45 (12 2011). https:\/\/doi.org\/10.18637\/jss.v045.i03"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CISTI.2015.7170627"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2020.2976185"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Peter Kairouz H. Brendan McMahan Brendan Avent Aur\u00e9lien Bellet Mehdi Bennis Arjun Nitin Bhagoji Kallista Bonawitz Zachary Charles Graham Cormode Rachel Cummings Rafael G. L. D'Oliveira Hubert Eichner Salim El Rouayheb David Evans Josh Gardner Zachary Garrett Adri\u00e0 Gasc\u00f3n Badih Ghazi Phillip B. Gibbons Marco Gruteser Zaid Harchaoui Chaoyang He Lie He Zhouyuan Huo Ben Hutchinson Justin Hsu Martin Jaggi Tara Javidi Gauri Joshi Mikhail Khodak Jakub Kone\u010dn\u00fd Aleksandra Korolova Farinaz Koushanfar Sanmi Koyejo Tancr\u00e8de Lepoint Yang Liu Prateek Mittal Mehryar Mohri Richard Nock Ayfer \u00d6zg\u00fcr Rasmus Pagh Mariana Raykova Hang Qi Daniel Ramage Ramesh Raskar Dawn Song Weikang Song Sebastian U. Stich Ziteng Sun Ananda Theertha Suresh Florian Tram\u00e8r Praneeth Vepakomma Jianyu Wang Li Xiong Zheng Xu Qiang Yang Felix X. Yu Han Yu and Sen Zhao. 2021. Advances and Open Problems in Federated Learning. arXiv:1912.04977 [cs.LG]  Peter Kairouz H. Brendan McMahan Brendan Avent Aur\u00e9lien Bellet Mehdi Bennis Arjun Nitin Bhagoji Kallista Bonawitz Zachary Charles Graham Cormode Rachel Cummings Rafael G. L. D'Oliveira Hubert Eichner Salim El Rouayheb David Evans Josh Gardner Zachary Garrett Adri\u00e0 Gasc\u00f3n Badih Ghazi Phillip B. Gibbons Marco Gruteser Zaid Harchaoui Chaoyang He Lie He Zhouyuan Huo Ben Hutchinson Justin Hsu Martin Jaggi Tara Javidi Gauri Joshi Mikhail Khodak Jakub Kone\u010dn\u00fd Aleksandra Korolova Farinaz Koushanfar Sanmi Koyejo Tancr\u00e8de Lepoint Yang Liu Prateek Mittal Mehryar Mohri Richard Nock Ayfer \u00d6zg\u00fcr Rasmus Pagh Mariana Raykova Hang Qi Daniel Ramage Ramesh Raskar Dawn Song Weikang Song Sebastian U. Stich Ziteng Sun Ananda Theertha Suresh Florian Tram\u00e8r Praneeth Vepakomma Jianyu Wang Li Xiong Zheng Xu Qiang Yang Felix X. Yu Han Yu and Sen Zhao. 2021. Advances and Open Problems in Federated Learning. arXiv:1912.04977 [cs.LG]","DOI":"10.1561\/9781680837896"},{"key":"e_1_3_2_1_6_1","volume-title":"Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring. Applied Sciences 9 (04","author":"Kaur Maninder","year":"2019","unstructured":"Maninder Kaur , Meghna Dhalaria , Pradip Sharma , and Jong Park . 2019. Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring. Applied Sciences 9 (04 2019 ), 1613. https:\/\/doi.org\/10.3390\/app9081613 10.3390\/app9081613 Maninder Kaur, Meghna Dhalaria, Pradip Sharma, and Jong Park. 2019. Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring. Applied Sciences 9 (04 2019), 1613. https:\/\/doi.org\/10.3390\/app9081613"},{"key":"e_1_3_2_1_7_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds .). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.)."},{"key":"e_1_3_2_1_8_1","volume-title":"PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients. PloS one 9 (02","author":"Kumar Satwant","year":"2014","unstructured":"Satwant Kumar , Madhu Rana , Khushboo Verma , Narayanjeet Singh , Anil Sharma , Arun Maria , Gobind Singh , Harkiran Khaira , and Sunil Saini . 2014. PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients. PloS one 9 (02 2014 ), e89851. https:\/\/doi.org\/10.1371\/journal.pone.0089851 10.1371\/journal.pone.0089851 Satwant Kumar, Madhu Rana, Khushboo Verma, Narayanjeet Singh, Anil Sharma, Arun Maria, Gobind Singh, Harkiran Khaira, and Sunil Saini. 2014. PrediQt-Cx: Post Treatment Health Related Quality of Life Prediction Model for Cervical Cancer Patients. PloS one 9 (02 2014), e89851. https:\/\/doi.org\/10.1371\/journal.pone.0089851"},{"key":"e_1_3_2_1_9_1","unstructured":"Qinbin Li Zeyi Wen and Bingsheng He. 2019. Practical Federated Gradient Boosting Decision Trees. arXiv:1911.04206 [cs.LG]  Qinbin Li Zeyi Wen and Bingsheng He. 2019. Practical Federated Gradient Boosting Decision Trees. arXiv:1911.04206 [cs.LG]"},{"key":"#cr-split#-e_1_3_2_1_10_1.1","doi-asserted-by":"crossref","unstructured":"Roland Melin Kerstin Fugl-Meyer and Axel Fugl-Meyer. 2003. Life satisfaction in 18-to 64-year-old Swedes: In relation to education employment situation health and physical activity. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine 35 (04 2003) 84--90. https:\/\/doi.org\/10.1080\/16501970306119 10.1080\/16501970306119","DOI":"10.1080\/16501970306119"},{"key":"#cr-split#-e_1_3_2_1_10_1.2","doi-asserted-by":"crossref","unstructured":"Roland Melin Kerstin Fugl-Meyer and Axel Fugl-Meyer. 2003. Life satisfaction in 18-to 64-year-old Swedes: In relation to education employment situation health and physical activity. Journal of rehabilitation medicine: official journal of the UEMS European Board of Physical and Rehabilitation Medicine 35 (04 2003) 84--90. https:\/\/doi.org\/10.1080\/16501970306119","DOI":"10.1080\/16501970306119"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_12_1","volume-title":"Predicting Quality of Life Changes in Hemodialysis Patients Using Machine Learning: Generation of an Early Warning System. Cureus 9 (09","author":"Saadat Shoab","year":"2017","unstructured":"Shoab Saadat , Ayesha Aziz , Hira Ahmad , Hira Imtiaz , Zara Sohail , Alvina Kazmi , Sanaa Aslam , Naveen Naqvi , and Sidra Saadat . 2017. Predicting Quality of Life Changes in Hemodialysis Patients Using Machine Learning: Generation of an Early Warning System. Cureus 9 (09 2017 ). https:\/\/doi.org\/10.7759\/cureus.1713 10.7759\/cureus.1713 Shoab Saadat, Ayesha Aziz, Hira Ahmad, Hira Imtiaz, Zara Sohail, Alvina Kazmi, Sanaa Aslam, Naveen Naqvi, and Sidra Saadat. 2017. Predicting Quality of Life Changes in Hemodialysis Patients Using Machine Learning: Generation of an Early Warning System. Cureus 9 (09 2017). https:\/\/doi.org\/10.7759\/cureus.1713"},{"key":"e_1_3_2_1_13_1","volume-title":"Machine learning in medicine: a practical introduction. BMC Medical Research Methodology 19 (03","author":"Sidey-Gibbons Jenni","year":"2019","unstructured":"Jenni Sidey-Gibbons and Chris Sidey-Gibbons . 2019. Machine learning in medicine: a practical introduction. BMC Medical Research Methodology 19 (03 2019 ). https:\/\/doi.org\/10.1186\/s12874-019-0681-4 10.1186\/s12874-019-0681-4 Jenni Sidey-Gibbons and Chris Sidey-Gibbons. 2019. Machine learning in medicine: a practical introduction. BMC Medical Research Methodology 19 (03 2019). https:\/\/doi.org\/10.1186\/s12874-019-0681-4"},{"key":"e_1_3_2_1_14_1","volume-title":"Young Shim, Jae Zo, and Young Ho Yun.","author":"Sim Jinah","year":"2020","unstructured":"Jinah Sim , Young Kim , Ju Kim , Jong Lee , Moon Soo Kim , Young Shim, Jae Zo, and Young Ho Yun. 2020 . The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning. Scientific Reports 10 (07 2020), 10693. https:\/\/doi.org\/10.1038\/s41598-020-67604-3 10.1038\/s41598-020-67604-3 Jinah Sim, Young Kim, Ju Kim, Jong Lee, Moon Soo Kim, Young Shim, Jae Zo, and Young Ho Yun. 2020. The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning. Scientific Reports 10 (07 2020), 10693. https:\/\/doi.org\/10.1038\/s41598-020-67604-3"},{"key":"e_1_3_2_1_15_1","volume-title":"A systematic literature review of quality of life in lower limb amputees. Disability and rehabilitation 33 (06","author":"Sinha Richa","year":"2011","unstructured":"Richa Sinha and Wim Heuvel . 2011. A systematic literature review of quality of life in lower limb amputees. Disability and rehabilitation 33 (06 2011 ), 883--99. https:\/\/doi.org\/10.3109\/09638288.2010.514646 10.3109\/09638288.2010.514646 Richa Sinha and Wim Heuvel. 2011. A systematic literature review of quality of life in lower limb amputees. Disability and rehabilitation 33 (06 2011), 883--99. https:\/\/doi.org\/10.3109\/09638288.2010.514646"},{"key":"e_1_3_2_1_16_1","volume-title":"Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease. Orphanet Journal of Rare Diseases 15 (12","author":"Spiga Ottavia","year":"2020","unstructured":"Ottavia Spiga , Vittoria Cicaloni , Cosimo Fiorini , Alfonso Trezza , Anna Visibelli , Lia Millucci , Giulia Bernardini , Andrea Bernini , Barbara Marzocchi , Daniela Braconi , Filippo Prischi , and Annalisa Santucci . 2020. Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease. Orphanet Journal of Rare Diseases 15 (12 2020 ). https:\/\/doi.org\/10.1186\/s13023-020-1305-0 10.1186\/s13023-020-1305-0 Ottavia Spiga, Vittoria Cicaloni, Cosimo Fiorini, Alfonso Trezza, Anna Visibelli, Lia Millucci, Giulia Bernardini, Andrea Bernini, Barbara Marzocchi, Daniela Braconi, Filippo Prischi, and Annalisa Santucci. 2020. Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease. Orphanet Journal of Rare Diseases 15 (12 2020). https:\/\/doi.org\/10.1186\/s13023-020-1305-0"},{"key":"#cr-split#-e_1_3_2_1_17_1.1","doi-asserted-by":"crossref","unstructured":"Galina Velikova Laura Booth Adam Smith Paul Brown Pamela Lynch Julia Brown and Peter Selby. 2004. Measuring Quality of Life in Routine Oncology Practice Improves Communication and Patient Well-Being: A Randomized Controlled Trial. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 22 (03 2004) 714--24. https:\/\/doi.org\/10.1200\/JCO.2004.06.078 10.1200\/JCO.2004.06.078","DOI":"10.1200\/JCO.2004.06.078"},{"key":"#cr-split#-e_1_3_2_1_17_1.2","doi-asserted-by":"crossref","unstructured":"Galina Velikova Laura Booth Adam Smith Paul Brown Pamela Lynch Julia Brown and Peter Selby. 2004. Measuring Quality of Life in Routine Oncology Practice Improves Communication and Patient Well-Being: A Randomized Controlled Trial. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 22 (03 2004) 714--24. https:\/\/doi.org\/10.1200\/JCO.2004.06.078","DOI":"10.1200\/JCO.2004.06.078"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"e_1_3_2_1_19_1","unstructured":"Shengwen Yang Bing Ren Xuhui Zhou and Liping Liu. 2019. Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator. arXiv:1911.09824[cs.LG]  Shengwen Yang Bing Ren Xuhui Zhou and Liping Liu. 2019. Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator. arXiv:1911.09824[cs.LG]"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104127"}],"event":{"name":"MEDES '21: International Conference on Management of Digital EcoSystems","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Virtual Event Tunisia","acronym":"MEDES '21"},"container-title":["Proceedings of the 13th International Conference on Management of Digital EcoSystems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444757.3485103","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3444757.3485103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:20Z","timestamp":1750197800000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444757.3485103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11]]},"references-count":22,"alternative-id":["10.1145\/3444757.3485103","10.1145\/3444757"],"URL":"https:\/\/doi.org\/10.1145\/3444757.3485103","relation":{},"subject":[],"published":{"date-parts":[[2021,11]]},"assertion":[{"value":"2021-11-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}