Prediction of patient length of stay using random forest method based on the Indonesian national health insurance

A Hanifa, YI Kurniawan, JH Husen… - Jurnal …, 2023 - ejournal.ittelkom-pwt.ac.id
Inpatient care is the largest component of healthcare service expenditure. Healthcare
management plays a role in reducing expenditure costs and improving healthcare services …

[PDF][PDF] Forecast of hospitalization costs of child patients based on machine learning methods and multiple classification

C Wang, X Pan, L Ye, W Zhuang… - Journal of Advances in …, 2018 - researchgate.net
In the paper, Random Forest algorithm (RF), bagging and error-correction output code
model (ECOC) were employed to predict the clinic expenditure of infantile patients with data …

Forecasting Clinical Expenditure of Child Patients Using Binary and Multi-Classification Methods

C Wang, X Pan, L Ye, W Zhuang… - … Conference on Big Data …, 2018 - ieeexplore.ieee.org
In this paper, random forest algorithm (RF) and error-correction output code model (ECOC)
were employed to predict the clinic expenditure of child patients with data consisting of …

[引用][C] Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor

DAP Wulandari, KAB Permana, M Sudarma - International Journal of Engineering and …, 2018