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A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine.
Data preprocessing is needed when real-life clinical databases are used as the data sources to learn the probabilities for dynamic decision models. Data preprocessing is challenging as it involves extensive manual effort and time in developing the data operation scripts. This paper presents a framew...
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Main Authors: | , |
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Formáid: | Artigo |
Teanga: | Inglês |
Foilsithe: |
American Medical Informatics Association
2000
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Ábhair: | |
Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2243981/ https://ncbi.nlm.nih.gov/pubmed/11080021 |
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