Article Versions Notes

Dargė G, Kasputytė G, Savickas P, Bunevičius A, Bunevičienė I, Korobeinikova E, Vaitiekus D, Inčiūra A, Jaruševičius L, Bunevičius R, et al. Machine Learning Methods for Predicting Cancer Complications Using Smartphone Sensor Data: A Prospective Study. Applied Sciences. 2026; 16(1):249. https://doi.org/10.3390/app16010249

Dargė, Gabrielė, Gabrielė Kasputytė, Paulius Savickas, Adomas Bunevičius, Inesa Bunevičienė, Erika Korobeinikova, Domas Vaitiekus, Arturas Inčiūra, Laimonas Jaruševičius, Romas Bunevičius, and et al. 2026. "Machine Learning Methods for Predicting Cancer Complications Using Smartphone Sensor Data: A Prospective Study" Applied Sciences 16, no. 1: 249. https://doi.org/10.3390/app16010249

Dargė, G., Kasputytė, G., Savickas, P., Bunevičius, A., Bunevičienė, I., Korobeinikova, E., Vaitiekus, D., Inčiūra, A., Jaruševičius, L., Bunevičius, R., Krikštolaitis, R., Krilavičius, T., & Juozaitytė, E. (2026). Machine Learning Methods for Predicting Cancer Complications Using Smartphone Sensor Data: A Prospective Study. Applied Sciences, 16(1), 249. https://doi.org/10.3390/app16010249