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- W2918323930 abstract "Traditional prediction models allow population based inferences. Machine learning explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that account for higher order interactions to make individualized outcome predictions.Data on 24,178" @default.
- W2918323930 created "2019-03-11" @default.
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- W2918323930 date "2019-03-01" @default.
- W2918323930 modified "2023-09-30" @default.
- W2918323930 title "MACHINE LEARNING VERSUS TRADITIONAL RISK STRATIFICATION METHODS IN ACUTE CORONARY SYNDROME: A POOLED RANDOMIZED CLINICAL TRIAL ANALYSIS" @default.
- W2918323930 doi "https://doi.org/10.1016/s0735-1097(19)30866-6" @default.
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