Data Collection during the COVID-19 Pandemic: Learning from Experience, Resulting in a Bayesian Repertory.

Lex A L B RuttenTom SmedleyGalen IvesPeter GoldBernardo MerizaldeRobbert van HaselenRaj Kumar ManchandaAshley RossGustavo CataldiAltunay AgaogluTiziana di GiampietroTheodore LilasFrederik SchroyensJosé E Eizayaga

Published in: Homeopathy : the journal of the Faculty of Homeopathy (2021)

A repertory based on clinical data and LRs can differentiate between homeopathic medicines using a limited number of frequently occurring epidemic symptoms. A Bayesian computer algorithm to combine symptoms can complement a full homeopathic analysis of cases.

Keyphrases

electronic health record
deep learning
big data
machine learning
sleep quality