From ff3b5e804639464ee2eff0b4cd8a09df71ff630b Mon Sep 17 00:00:00 2001 From: Tristan Naumann Date: Fri, 29 Nov 2019 17:48:16 -0800 Subject: [PATCH] Correct 2019-10-28-nestor19a.md Correction to booktitle, title, and text_title so that mlhc19.bib can be generated correctly. --- _posts/2019-10-28-nestor19a.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/_posts/2019-10-28-nestor19a.md b/_posts/2019-10-28-nestor19a.md index 7942325..2464bb6 100644 --- a/_posts/2019-10-28-nestor19a.md +++ b/_posts/2019-10-28-nestor19a.md @@ -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