Predicting Patient Length Of Stay at Time of Admission Using Machine Learning
This master thesis investigates the possibility of using machine learning methods to predict patient length of stay at the time of admission to a clinical ward from the emergency department. The main aim of this thesis is to provide a comparative analysis of different algorithms and to suggest a sui...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för kemi, bioteknologi och hälsa (CBH)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255150 |