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Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients.

, , , , , , , , , , , , , , , , and . AIAI Workshops, volume 652 of IFIP Advances in Information and Communication Technology, page 401-411. Springer, (2022)

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Using Association Rules in Antimicrobial Resistance in Stone Disease Patients., , , , , , , , , and 3 other author(s). ICIMTH, volume 295 of Studies in Health Technology and Informatics, page 462-465. IOS Press, (2022)ASCAPE: An open AI ecosystem to support the quality of life of cancer patients., , , , , , , , , and . CoRR, (2023)Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients., , , , , , , , , and 7 other author(s). AIAI Workshops, volume 652 of IFIP Advances in Information and Communication Technology, page 401-411. Springer, (2022)CrowdHEALTH: An e-Health Big Data Driven Platform towards Public Health Policies., , , , , , , , , and 7 other author(s). ICT4AWE, page 241-249. SCITEPRESS, (2020)The application of machine learning techniques in prediction of quality of life features for cancer patients., , , , , , , , and . Comput. Sci. Inf. Syst., 20 (1): 381-404 (2023)Acceptance of Artificial Intelligence in Supporting Cancer Patients., , , , , , , , , and 2 other author(s). ICIMTH, volume 305 of Studies in Health Technology and Informatics, page 572-575. IOS Press, (2023)Training ChatGPT Models in Assisting Urologists in Daily Practice., , , , , , , , , and 2 other author(s). ICIMTH, volume 305 of Studies in Health Technology and Informatics, page 576-579. IOS Press, (2023)Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients., , , , , , , , and . MEDES, page 35-42. ACM, (2021)ASCAPE: An open AI ecosystem to support the quality of life of cancer patients., , , , , , , , , and . ICHI, page 301-310. IEEE, (2021)A hybrid artificial intelligence solution approach to aftercare for cancer patients., , , , , , , , , and 11 other author(s). Neural Comput. Appl., 35 (29): 21381-21397 (October 2023)