Predicting consultation durations in a digital primary care setting

Predicting consultation durations in a digital primary care setting

The aim of this thesis is to develop a method to predict consultation durations in a digital primary care setting and thereby create a tool for designing a more efficient scheduling system in primary care. The ultimate purpose of the work is to contribute to a reduction in waiting times in primary c...

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Bibliographic Details
Main Author: Åman, Agnes
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:
neural networks
machine learning
primary care
linear regression
linear discriminant analysis
consultation duration
digital primary care
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231921

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