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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |