Tracing and Forecasting Metabolic Indices of Cancer Patients Using Patient-Specific Deep Learning Models

We develop a patient-specific dynamical system model from the time series data of the cancer patient’s metabolic panel taken during the period of cancer treatment and recovery. The model consists of a pair of stacked long short-term memory (LSTM) recurrent neural networks and a fully connected neura...

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Detalles Bibliográficos
Autores principales: Hou, Jianguo, Deng, Jun, Li, Chunyan, Wang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147215/
https://www.ncbi.nlm.nih.gov/pubmed/35629164
http://dx.doi.org/10.3390/jpm12050742

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147215/
https://www.ncbi.nlm.nih.gov/pubmed/35629164
http://dx.doi.org/10.3390/jpm12050742

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