Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics 2017
DOI: 10.1145/3155077.3155081
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Recurrent Neural Networks with Non-Sequential Data to Predict Hospital Readmission of Diabetic Patients

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Cited by 30 publications
(29 citation statements)
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“…In term of proportion, the whole column should be dropped. However, based on background understanding and recommendation from previous researches such variable is of prime importance when predicting readmission [15]. Hence, the missing values were encoded as a new category labeled "Missing".…”
Section: Resultsmentioning
confidence: 99%
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“…In term of proportion, the whole column should be dropped. However, based on background understanding and recommendation from previous researches such variable is of prime importance when predicting readmission [15]. Hence, the missing values were encoded as a new category labeled "Missing".…”
Section: Resultsmentioning
confidence: 99%
“…For the rest of the variables with low to average missing rate, imputation was conducted in order to maintain as much data as possible for further modeling [4], [15]. Indeed, imputation methods are crucial in order to minimize nonresponse bias and to generate efficient predictors.…”
Section: Resultsmentioning
confidence: 99%
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