AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in
Healthcare with Automated Machine Learning

AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning

21 October 2022

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Papers citing "AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning"

14 / 14 papers shown

Title
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 46 78 0 15 Jun 2022
Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images Iulian Emil Tampu Anders Eklund Neda Haj-Hosseini 54 49 0 21 Feb 2022
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 62 38 0 28 Oct 2021
Learning outside the Black-Box: The pursuit of interpretable models Jonathan Crabbé Yao Zhang W. Zame M. Schaar 35 24 0 17 Nov 2020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 69 774 0 14 Aug 2020
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian Ahmed Alaa Mihaela van der Schaar 70 41 0 27 Jul 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 221 2,061 0 16 Apr 2020
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation Bret A. Nestor Matthew B. A. McDermott Geeticka Chauhan Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 49 35 0 30 Nov 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 61 89 0 20 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 77 124 0 06 Mar 2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 240 2,336 0 21 Mar 2016
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 237 4,330 0 04 May 2011
On the Stationary Distribution of Iterative Imputations Jingcheng Liu Andrew Gelman J. Hill Yu-Sung Su 98 119 0 13 Dec 2010

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