This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1935) Decision Support for Health Professionals (1555) Breast Cancer (292) Machine Learning (2095) Design and Usability of Clinical Software and EHRs (352)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43838, first published .
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

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

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 of this article:

Georgios C Manikis1 Author Orcid Image ;   Nicholas J Simos1 Author Orcid Image ;   Konstantina Kourou2, 3 Author Orcid Image ;   Haridimos Kondylakis1 Author Orcid Image ;   Paula Poikonen-Saksela4 Author Orcid Image ;   Ketti Mazzocco5, 6 Author Orcid Image ;   Ruth Pat-Horenczyk7 Author Orcid Image ;   Berta Sousa8 Author Orcid Image ;   Albino J Oliveira-Maia9 Author Orcid Image ;   Johanna Mattson4 Author Orcid Image ;   Ilan Roziner10 Author Orcid Image ;   Chiara Marzorati5 Author Orcid Image ;   Kostas Marias1 Author Orcid Image ;   Mikko Nuutinen11 Author Orcid Image ;   Evangelos Karademas1 Author Orcid Image ;   Dimitrios Fotiadis2, 3 Author Orcid Image
Article Authors Cited by (16) Tweetations (3) Metrics

Journals

  1. Mendes J, Alexandre-Sousa P, Sousa F, Tavares M. Escala de Resiliência Específica para o Cancro: Validação portuguesa da versão reduzida. Revista Portuguesa de Investigação Comportamental e Social 2023;9(2) View
  2. Pimenta C, Bezerra T, Silva C, Madruga K, Costa T, Melo R, Costa K. Evidence of validity of the Brazilian version of the Cancer Behavior Inventory - Brief Version. Revista Gaúcha de Enfermagem 2024;45 View
  3. Pimenta C, Bezerra T, Silva C, Madruga K, Costa T, Melo R, Costa K. Evidências de validade da versão brasileira do Cancer Behavior Inventory - Brief Version. Revista Gaúcha de Enfermagem 2024;45 View
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  6. Poikonen-Saksela P, Karademas E, Vehmanen L, Utriainen M, Kondylakis H, Kourou K, Manikis G, Kolokotroni E, Argyropaidas P, Sousa B, Pat Horenczyk R, Mazzocco K, Mattson J, Wani I. Digital Self‐Management Intervention Paths for Early Breast Cancer Patients: Results of a Pilot Study. The Breast Journal 2024;2024(1) View
  7. Valerio M, Gebbia V, Piazza D, Campisi G, D’Agati E, Bazzano M. Surviving Twenty Years to Bone and Liver Metastatic Breast Cancer: A Case Reported by Treating Oncologists and the Patient Herself. Case Reports in Oncology 2024;17(1):1174 View
  8. Nguyen K, Wilson D, Diiulio J, Hall B, Militello L, Gellad W, Harle C, Lewis M, Schmidt S, Rosenberg E, Nelson D, He X, Wu Y, Bian J, Staras S, Gordon A, Cochran J, Kuza C, Yang S, Lo-Ciganic W. Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings. Bioelectronic Medicine 2024;10(1) View
  9. Scarpato N, Ferroni P, Guadagni F. XAI Unveiled: Revealing the Potential of Explainable AI in Medicine - A Systematic Review. IEEE Access 2024:1 View
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  11. Cruz-Gonzalez P, He A, Lam E, Ng I, Li M, Hou R, Chan J, Sahni Y, Vinas Guasch N, Miller T, Lau B, Sánchez Vidaña D. Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications. Psychological Medicine 2025;55 View
  12. Feng K, Yi Z, Xu B. Artificial Intelligence and Breast Cancer Management: From Data to the Clinic. Cancer Innovation 2025;4(2) View
  13. Liu B, He D, Li J, Li X, An L. On exploring features engineering and machine learning algorithms in the domain of clinical-psychological. Alexandria Engineering Journal 2025;123:488 View
  14. Ilic I, Babic G, Sipetic Grujicic S, Zivanovic Macuzic I, Ilic M, Ravic-Nikolic A, Milicic V. Predicting Pre- and Post-Diagnostic Depression in Women with Abnormal Pap Screening Tests: A Neural Network Approach. Life 2025;15(7):1041 View
  15. Pruski M, Willis S, Withers K. A narrative review of the use of PROMs and machine learning to impact value-based clinical decision-making. BMC Medical Informatics and Decision Making 2025;25(1) View

Books/Policy Documents

  1. Mitra U, Rehman S. AI-Driven Innovation in Healthcare Data Analytics. View