Ontology highlight
ABSTRACT:
SUBMITTER: Debes C
PROVIDER: S-EPMC10240479 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Debes Christian C Wowra Johannes J Manzoor Sarosh S Ruple Audrey A
Scientific reports 20230605 1
In this paper we propose a machine learning-based approach to predict a multitude of insurance claim categories related to canine diseases. We introduce several machine learning approaches that are evaluated on a pet insurance dataset consisting of 785,565 dogs from the US and Canada whose insurance claims have been recorded over 17 years. 270,203 dogs with a long insurance tenure were used to train a model while the inference is applicable to all dogs in the dataset. Through this analysis we de ...[more]