2020 BRN Discussion, page-415

Back at computer the actual quote from this paper put out by Dr. Mary Webberley's team in March, 2019 is:

https://europepmc.org/article/med/30908308

"We also used a method of machine learning, which has been
applied widely in other fields, but has not previously been used
to build models enabling bowel sound analysis for diagnosis.
We used logistic regression–based machine learning (a simple
artificial neural network). Other researchers have used other
neural networks and wavelets (29), autogressive moving
average (AMRA)-based machine learning (30), a hybrid expert system (31), a fuzzy logic system (32), a back propagation
neural network (33), and a Bayesian classification method (15)
to either identify bowel sounds or for diagnosis of GI
conditions."