The feasibility and effects of a pharmacological treatment algorithm for cancer patients with terminal dyspnea: A multicenter cohort study.

Masanori Mori Takashi Yamaguchi Kozue Suzuki Yoshinobu Matsuda Ryo Matsunuma Hiroaki Watanabe Tomoo Ikari Yoshihisa MatsumotoKengo ImaiNaosuke Yokomichi Satoru MiwaToshihiro YamauchiSoichiro OkamotoSatoshi InoueAkira InoueTatsuya Morita Eriko Satominull null

Published in: Cancer medicine (2022)

The comprehensive pharmacological treatment algorithm was feasible, and the study data supports its preliminary efficacy and safety. The use of this algorithm may help clinicians improve care for patients with terminal dyspnea.

Keyphrases

machine learning
deep learning
palliative care
healthcare
clinical trial
artificial intelligence
cross sectional
big data
electronic health record
advanced cancer
chronic pain
data analysis
pain management
double blind
health insurance
replacement therapy
smoking cessation