Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study

Authors: Konstantina Kourou, Georgios Manikis, Eugenia Mylona, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J. Oliveira-Maia, Johanna Mattson, Ilan Roziner, Greta Pettini, Haridimos Kondylakis, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Panagiotis Simos, Dimitrios I. Fotiadis

Source: Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/ddd695d1a3c9476eb3eb09ac3e014396

Personalized Risk Analysis to Improve the Psychological Resilience of Women Undergoing Treatment for Breast Cancer: Development of a Machine Learning–Driven Clinical Decision Support Tool

Authors: Georgios C Manikis, Nicholas J Simos, Konstantina Kourou, Haridimos Kondylakis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J Oliveira-Maia, Johanna Mattson, Ilan Roziner, Chiara Marzorati, Kostas Marias, Mikko Nuutinen, Evangelos Karademas, Dimitrios Fotiadis

Source: Journal of Medical Internet Research, Vol 25, p e43838 (2023)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

File Description: electronic resource

Relation: https://www.jmir.org/2023/1/e43838; https://doaj.org/toc/1438-8871

Access URL: https://doaj.org/article/021ace5958554eb6948492eaeea133b6

Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

Authors: Konstantina Kourou, Konstantinos P. Exarchos, Costas Papaloukas, Prodromos Sakaloglou, Themis Exarchos, Dimitrios I. Fotiadis

Source: Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 5546-5555 (2021)

Subject Terms: Artificial intelligence, Machine learning, Cancer prognosis, Survival, Clinical outcome prediction, Explainability, Biotechnology, TP248.13-248.65

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2001037021004281; https://doaj.org/toc/2001-0370

Access URL: https://doaj.org/article/cf8db934ef2c4813b44599cacab9b9f0

Machine learning applications in cancer prognosis and prediction

Authors: Konstantina Kourou, Themis P. Exarchos, Konstantinos P. Exarchos, Michalis V. Karamouzis, Dimitrios I. Fotiadis

Source: Computational and Structural Biotechnology Journal, Vol 13, Iss C, Pp 8-17 (2015)

Subject Terms: Machine learning, Cancer susceptibility, Predictive models, Cancer recurrence, Cancer survival, Biotechnology, TP248.13-248.65

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2001037014000464; https://doaj.org/toc/2001-0370

Access URL: https://doaj.org/article/35b9fc4c35f148889aab32c978d9a58b

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