Open AccessPERSONALIZED CALCULATOR FOR PREDICTION OF OPIOID-ASSOCIATED PHARMACORESISTANCE IN PATIENTS WITH PANCREASE CANCER
Author(s) -
О. П. Боброва,
Sergey Kensarinovich Zyryanov,
Natalia A. Shnayder,
М. М. Петрова
Publication year - 2020
Publication title -
archiv euromedica
Language(s) - English
Resource type - Journals
eISSN - 2199-885X
pISSN - 2193-3863
DOI - 10.35630/2199-885x/2020/10/4.3
Subject(s) - medicine , opioid , oncology , receptor
We studied the complex effect of genetic and non-genetic factors on the formation of opioid-associated resistance using machine learning methods in patients with chronic pain syndrome against the background of pancreatic cancer. Fifty-seven factors for predicting the realization of pharmacoresistance were studied in all examined Caucasian patients. The most significant predictive factors were determined and a software-analytical complex "Algorithm for assessing the significance of clinical and pathogenetic factors for predicting the safety of opioid therapy" was developed.