MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation,
Enrichment, and Refinement

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement

20 May 2023

Chufan Gao

Jimeng Sun

Papers citing "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"

16 / 16 papers shown

Title
Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs Mohammad Rostami Atik Faysal Reihaneh Gh. Roshan Huaxia Wang Nikhil Muralidhar Yu-dong Yao 24 0 0 06 May 2025
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling Qi Cheng Licheng Liu Yao Zhang Mu Hong Shiyuan Luo Zhenong Jin Yiqun Xie Xiaowei Jia 31 0 0 05 May 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records Md Sultan al Nahian Chris Delcher Daniel Harris Peter Akpunonu Ramakanth Kavuluru LM&MA 44 0 0 16 Apr 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 41 0 0 27 Feb 2025
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 33 1 0 17 Oct 2024
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials Yizhen Zheng Huan Yee Koh M. Yang Li Li Lauren T. May Geoffrey I. Webb Shirui Pan George Church LM&MA 44 9 0 06 Sep 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution Yucheng Ruan Xiang Lan Jingying Ma Yizhi Dong Kai He Mengling Feng LMTD 65 3 0 20 Aug 2024
Emergency Department Decision Support using Clinical Pseudo-notes Simon A. Lee Sujay Jain Alex Chen Kyoka Ono Jennifer Fang Á. Rudas Jeffrey N. Chiang 19 8 0 31 Jan 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey Yunkun Zhang Jin Gao Zheling Tan Lingfeng Zhou Kexin Ding Mu Zhou Shaoting Zhang Dequan Wang AI4CE 37 22 0 04 Jan 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 68 20 0 11 Oct 2023
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care Junyi Gao Yinghao Zhu Wenqing Wang Yasha Wang Wen Tang Ewen M. Harrison Liantao Ma OOD 35 15 0 16 Sep 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 33 67 0 02 Oct 2021
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding Kyunghoon Hur Jiyoung Lee Jungwoo Oh Wesley Price Young-Hak Kim E. Choi 30 17 0 08 Aug 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 157 417 0 11 Dec 2020