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Correct 2019-10-28-nestor19a.md
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Correction to booktitle, title, and text_title so that mlhc19.bib can be generated correctly.
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tnaumann authored Nov 30, 2019
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Expand Up @@ -18,16 +18,17 @@ abstract: 'When training clinical prediction models from electronic health recor
other automatic feature preprocessing techniques aimed at increasing robustness
to data drift. We release our aggregated representations and code1 to encourage
more deployable clinical prediction models.'
booktitle: 'Feature Robustness in Non-stationary Health Records: Caveats to Deployable
booktitle: Proceedings of the 4th Machine Learning for Healthcare Conference
title: 'Feature Robustness in Non-stationary Health Records: Caveats to Deployable
Model Performance in Common Clinical Machine Learning Tasks'
title: Bayesian Trees for Automated Cytometry Data Analysis
volume: '106'
year: '2019'
layout: inproceedings
series: Proceedings of Machine Learning Research
id: nestor19a
month: 0
tex_title: Bayesian Trees for Automated Cytometry Data Analysis
tex_title: 'Feature Robustness in Non-stationary Health Records: Caveats to Deployable
Model Performance in Common Clinical Machine Learning Tasks'
firstpage: 381
lastpage: 405
page: 381-405
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