On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series

15 November 2023

Papers citing "On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series"

6 / 6 papers shown

Title
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets Nassim Oufattole Teya Bergamaschi Aleksia Kolo Hyewon Jeong Hanna Gaggin Collin M. Stultz Matthew B. A. McDermott 36 1 0 31 Oct 2024
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information Fedor Sergeev Paola Malsot Gunnar Rätsch Vincent Fortuin AI4TS 41 0 0 18 Jul 2024
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications Fabian Baldenweg Manuel Burger Gunnar Rätsch Rita Kuznetsova AI4TS 41 0 0 27 Mar 2024
Intensive Care as One Big Sequence Modeling Problem Vadim Liventsev Tobias Fritz 18 1 0 27 Feb 2024
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio' M. Schaar 36 11 0 01 Nov 2022
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020