In this study, we proposed two classes of models for analyzing large scale mortality data. We showed that both classes significantly perform better than the ...
We design two different classes of models suitable for large-scale analysis of mortality data, a Hadoop-based ensemble of random forests trained over N-grams, ...
May 6, 2017 · Multiple cause-of-death data provides a valuable source of information that can be used to enhance health standards by predicting health related ...
Aug 3, 2024 · We design two different classes of models suitable for large-scale analysis of mortality data, a Hadoop-based ensemble of random forests trained ...
Two different classes of models suitable for large-scale analysis of mortality data are designed, a Hadoop-based ensemble of random forests trained over ...
We design two different classes of models suitable for large-scale analysis of mortality data, a Hadoop-based ensemble of random forests trained over N-grams, ...
Jun 25, 2024 · This study aimed to develop a deep learning model to predict the risk stratification of all-cause death for older people with disability
Jun 24, 2024 · We developed a deep learning model to predict 1-year mortality using nationwide longitudinal data from the Finnish population.
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DeepDeath: Learning to predict the underlying cause of death with big data. 2017 39th Annual International Conference of the Ieee Engineering in Medicine ...
Nov 22, 2023 · This study aims to assess the sensitivity and other performance metrics of AUTOCOD in classifying underlying causes of death compared with manual coding.