Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based Approach

Machine learning models, particularly KNN, showed some promise in predicting PCC in cancer patients, offering the potential for early intervention and personalised care. These findings emphasise the importance of long-term monitoring for cancer patients recovering from COVID-19 to mitigate PCC impact.

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Publication Details

Journal
Cancers
Published
2025-02-18
DOI
https://doi.org/10.3390/cancers17040687
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00

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article

Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based Approach

Maria Pikuza, Mikhail Rumyantsev, Sergey Nikolaevich Avdeev, Andrey А. Svistunov et al.
Cancers
Long-Term Effects of COVID-19
article

Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based Approach

Maria Pikuza, Mikhail Rumyantsev, Sergey Nikolaevich Avdeev, Andrey А. Svistunov, Margarita Andreeva, Polina Bobkova, Denis Butnaru, Elena Kondrikova, Yasmin El-Taravi, Валентина Капустина, Alexey A. Zaikin, Dina Baimukhambetova, Yulia V. Ivanova, Oleg B. Blyuss, Irina Turina, Ekaterina Pazukhina, N.V. Avdeenko, L.V. Fedorova, Elina Abdeeva, Daniel Munblit, N. Bulanov, Petr Glybochko, Peter S. Timashev, Sara Mohammadi, Victor Fomin, Aleksandr Zolotarev, Anastasia Shikhaleva, Екатерина Яковлева
article en

Abstract

Machine learning models, particularly KNN, showed some promise in predicting PCC in cancer patients, offering the potential for early intervention and personalised care. These findings emphasise the importance of long-term monitoring for cancer patients recovering from COVID-19 to mitigate PCC impact.

CancersVol. 17(4)
National Research University Higher School of Economics (RU), University of British Columbia (CA), Queen Mary University of London (GB), Sechenov University (RU), King's College London (GB), Florence Nightingale Foundation (GB), Moscow Research and Clinical Center for Neuropsychiatry (RU), University College London (GB)
Barts Charity, Russian Science Foundation
Openalex Percentile: Top 95%
Long-Term Effects of COVID-19
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