Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments

Mikko Nuutinen; Anna-Maria Hiltunen; Sonja Korhonen; Ira Haavisto; Paula Poikonen-Saksela; Johanna Mattson; Georgios Manikis; Haridimos Kondylakis; Panagiotis Simos; Ketti Mazzocco; Ruth Pat-Horenczyk; Berta Sousa; Fatima Cardoso; Isabel Manica; Ian Kudel; Riikka-Leena Leskelä

doi:10.1007/s12553-023-00733-7

Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments

Mikko Nuutinen, Anna-Maria Hiltunen, Sonja Korhonen, Ira Haavisto, Paula Poikonen-Saksela, Johanna Mattson, Georgios Manikis, Haridimos Kondylakis, Panagiotis Simos, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Fatima Cardoso, Isabel Manica, Ian Kudel, Riikka-Leena Leskelä

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Health and technology
Volume	13
Issue number	2
Pages (from-to)	229–244
Number of pages	16
ISSN	2190-7188
DOIs	https://doi.org/10.1007/s12553-023-00733-7
Publication status	Published - Mar 2023
MoE publication type	A1 Journal article-refereed

Fields of Science

3141 Health care science

Access to Document

10.1007/s12553-023-00733-7

Cite this

Nuutinen, M., Hiltunen, A.-M., Korhonen, S., Haavisto, I., Poikonen-Saksela, P., Mattson, J., Manikis, G., Kondylakis, H., Simos, P., Mazzocco, K., Pat-Horenczyk, R., Sousa, B., Cardoso, F., Manica, I., Kudel, I., & Leskelä, R.-L. (2023). Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments. Health and technology, 13(2), 229–244. https://doi.org/10.1007/s12553-023-00733-7

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title = "Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments",

keywords = "Breast cancer, Clinical decision support system, Machine learning, Quality of life, User experiment, 3141 Health care science",

author = "Mikko Nuutinen and Anna-Maria Hiltunen and Sonja Korhonen and Ira Haavisto and Paula Poikonen-Saksela and Johanna Mattson and Georgios Manikis and Haridimos Kondylakis and Panagiotis Simos and Ketti Mazzocco and Ruth Pat-Horenczyk and Berta Sousa and Fatima Cardoso and Isabel Manica and Ian Kudel and Riikka-Leena Leskel{\"a}",

year = "2023",

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doi = "10.1007/s12553-023-00733-7",

language = "English",

volume = "13",

pages = "229–244",

journal = "Health and technology",

issn = "2190-7188",

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Nuutinen, M, Hiltunen, A-M, Korhonen, S, Haavisto, I, Poikonen-Saksela, P , Mattson, J, Manikis, G, Kondylakis, H, Simos, P, Mazzocco, K, Pat-Horenczyk, R, Sousa, B, Cardoso, F, Manica, I, Kudel, I & Leskelä, R-L 2023, 'Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments', Health and technology, vol. 13, no. 2, pp. 229–244. https://doi.org/10.1007/s12553-023-00733-7

TY - JOUR

T1 - Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments

AU - Nuutinen, Mikko

AU - Hiltunen, Anna-Maria

AU - Korhonen, Sonja

AU - Haavisto, Ira

AU - Poikonen-Saksela, Paula

AU - Mattson, Johanna

AU - Manikis, Georgios

AU - Kondylakis, Haridimos

AU - Simos, Panagiotis

AU - Mazzocco, Ketti

AU - Pat-Horenczyk, Ruth

AU - Sousa, Berta

AU - Cardoso, Fatima

AU - Manica, Isabel

AU - Kudel, Ian

AU - Leskelä, Riikka-Leena

PY - 2023/3

Y1 - 2023/3

KW - Breast cancer

KW - Clinical decision support system

KW - Machine learning

KW - Quality of life

KW - User experiment

KW - 3141 Health care science

U2 - 10.1007/s12553-023-00733-7

DO - 10.1007/s12553-023-00733-7

M3 - Article

SN - 2190-7188

VL - 13

SP - 229

EP - 244

JO - Health and technology

JF - Health and technology

IS - 2

ER -