Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy

Machine learning technology is expected to support diagnosis and prognosis prediction in medicine. We used machine learning to construct a new prognostic prediction model for prostate cancer patients based on longitudinal data obtained from age at diagnosis, peripheral blood and urine tests of 340 p...

Descripción completa

Detalles Bibliográficos
Autores principales: Saito, Shinpei, Sakamoto, Shinichi, Higuchi, Kosuke, Sato, Kodai, Zhao, Xue, Wakai, Ken, Kanesaka, Manato, Kamada, Shuhei, Takeuchi, Nobuyoshi, Sazuka, Tomokazu, Imamura, Yusuke, Anzai, Naohiko, Ichikawa, Tomohiko, Kawakami, Eiryo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113215/
https://www.ncbi.nlm.nih.gov/pubmed/37072487
http://dx.doi.org/10.1038/s41598-023-32987-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113215/
https://www.ncbi.nlm.nih.gov/pubmed/37072487
http://dx.doi.org/10.1038/s41598-023-32987-6

Ejemplares similares