%0 Journal Article %1 Steinacker2024 %A Steinacker, Marie %A Kheifetz, Yuri %A Scholz, Markus %D 2024 %J Journal of Cancer Research and Clinical Oncology %K imported xack %N 10 %P 457 %R 10.1007/s00432-024-05985-y %T Predicting chemotherapy-induced thrombotoxicity by NARX neural networks and transfer learning %U https://doi.org/10.1007/s00432-024-05985-y %V 150 %X Thrombocytopenia is a common side effect of cytotoxic chemotherapies, which is often dose-limiting. Predicting an individual's risk is of high clinical importance, as otherwise, a small subgroup of patients limits dosages for the overall population for safety reasons.

@article{Steinacker2024, abstract = {Thrombocytopenia is a common side effect of cytotoxic chemotherapies, which is often dose-limiting. Predicting an individual's risk is of high clinical importance, as otherwise, a small subgroup of patients limits dosages for the overall population for safety reasons.}, added-at = {2024-12-10T13:57:08.000+0100}, author = {Steinacker, Marie and Kheifetz, Yuri and Scholz, Markus}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2494b871b335e9f750a47a0638f6441b0/scadsfct}, day = 14, doi = {10.1007/s00432-024-05985-y}, interhash = {9c3fec7737cdd946fa59c7d694080671}, intrahash = {494b871b335e9f750a47a0638f6441b0}, issn = {1432-1335}, journal = {Journal of Cancer Research and Clinical Oncology}, keywords = {imported xack}, month = oct, number = 10, pages = 457, timestamp = {2025-02-26T15:29:45.000+0100}, title = {Predicting chemotherapy-induced thrombotoxicity by NARX neural networks and transfer learning}, url = {https://doi.org/10.1007/s00432-024-05985-y}, volume = 150, year = 2024 }