Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital
International audience ; Predicting the amount of money that can be claimed is critical to the effective running of an Hospital. In this paper we describe a case study of a Dutch Hospital where we use process mining to predict the cash flow of the Hospital. In order to predict the cost of a treatment, we use different data mining techniques to predict the sequence of treatments administered, the duration and the final ”care product” or diagnosis of the patient. While performing the data analysis we encountered three specific kinds of noise that we call sequence noise, human noise and duration... Mehr ...
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Dokumenttyp: | conferenceObject |
Erscheinungsdatum: | 2012 |
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HAL CCSD
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Schlagwörter: | process prediction / process mining / classification / cash flow prediction / data noise / case study / [INFO]Computer Science [cs] |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26619330 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hal.inria.fr/hal-01474690 |