Benchmarking missing-values approaches for predictive models on health
databases

Benchmarking missing-values approaches for predictive models on health databases

17 February 2022

Alexandre Perez-Lebel

Gaël Varoquaux

Marine Le Morvan

Papers citing "Benchmarking missing-values approaches for predictive models on health databases"

14 / 14 papers shown

Title
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 73 1 0 21 Feb 2025
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices Santino Nanini Mariem Abid Yassir Mamouni Arnaud Wiedemann Philippe Jouvet Stephane Bourassa 18 0 0 30 Oct 2024
Robust prediction under missingness shifts P. Rockenschaub Zhicong Xian Alireza Zamanian Marta Piperno Octavia-Andreea Ciora E. Pachl Narges Ahmidi OOD 42 0 0 24 Jun 2024
Random features models: a way to study the success of naive imputation Alexis Ayme Claire Boyer Lpsm Aymeric Dieuleveut Erwan Scornet 20 3 0 06 Feb 2024
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 16 2 0 28 Nov 2023
Estimating treatment effects from single-arm trials via latent-variable modeling Manuel Haussmann Tran Minh Son Le Viivi Halla-aho Samu Kurki Jussi Leinonen Miika Koskinen Samuel Kaski Harri Lähdesmäki CML 21 0 0 06 Nov 2023
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 21 9 0 30 May 2023
Une comparaison des algorithmes dápprentissage pour la survie avec données manquantes Paul Dufossé S. Benzekry 17 0 0 23 Mar 2023
The Missing Indicator Method: From Low to High Dimensions Mike Van Ness Tomas M. Bosschieter Roberto Halpin-Gregorio Madeleine Udell AI4TS 19 15 0 16 Nov 2022
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values O. Lenz Daniel Peralta Chris Cornelis 16 0 0 04 Oct 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 22 354 0 18 Jul 2022
No imputation without representation O. Lenz Daniel Peralta Chris Cornelis 12 3 0 28 Jun 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 16 75 0 15 Jun 2022
On the consistency of supervised learning with missing values Julie Josse Jacob M. Chen Nicolas Prost Erwan Scornet Gaël Varoquaux 12 112 0 19 Feb 2019