数据挖掘实现的住院病人的实时预警（PPT讲稿）Real-Time Clinical Warning for Hospitalized Patients via Data Mining

Aggregated Bootstrapping(bagging) 65● Advantages 1. Handles outliers 2. Avoid over-fitting ·······● °:58 3. Better model quality ·音非非。非 Final Model

Aggregated Bootstrapping (bagging) …………. ………….  Final Model Advantages: 1. Handles outliers 2. Avoid over-fitting 3. Better model quality

Biased Bucket Bagging ∑ Final Model

Biased Bucket Bagging …………. ………….  Final Model Bucketing