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A study of factors related to patients' length of stay using data mining techniques in a general hospital in southern Iran.

Seyed Mohammad AyyoubzadehMarjan GhazisaeediSharareh Rostam Niakan KalhoriMehdi HassaniazadTayebeh BaniasadiKeivan MaghooliKobra Kahnouji
Published in: Health information science and systems (2020)
The results showed that most of the proposed models are suitable for classification of the length of stay, although the Logistic Regression might have a slightly better performance than others in term of accuracy, and this model can be used to determine the patients' Length of Stay. In general, continuous monitoring of the factors influencing each of the performance indicators based on proper and accurate models in hospitals is important for helping management decisions.
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