Artificial intelligence algorithms predict the efficacy of analgesic cocktails prescribed after orthopedic surgery.

ABSTRACT:

Background

Mixtures ('cocktails') of various analgesics are more effective in controlling post-operative pain because of potential synergetic effects. Few studies have investigated such effects in large combinations of analgesics and no studies have determined the probabilities of effectiveness.

Methods

We used one-hot encoding of the categorical variables reported pain levels and the administered cocktails (from a total of eight analgesics) and then applied an unsupervised neural network and then the unsupervised DBSCAN algorithm to detect clusters of cocktails. We used Bayesian statistics to classify the effectiveness of these cocktails.

Results

Of the 61 different cocktails administered to 750 patients, we found that four combinations of three to four analgesics we

SUBMITTER: Fritsch G 

PROVIDER: S-EPMC9894442 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature