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

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...

Full description

Bibliographic Details
Main Authors: Jianguo Hou, Jun Deng, Chunyan Li, Qi Wang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Personalized Medicine
Subjects:
deep learning
dynamical systems
LSTM
metabolic panel
prediction
time series
Online Access:https://www.mdpi.com/2075-4426/12/5/742

Internet

https://www.mdpi.com/2075-4426/12/5/742

Similar Items