Handling missing values in healthcare data: A systematic review of deep
learning-based imputation techniques

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

15 October 2022

Bibhas Chakraborty

Papers citing "Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques"

14 / 14 papers shown

Title
Evaluation of the impact of expert knowledge: How decision support scores impact the effectiveness of automatic knowledge-driven feature engineering (aKDFE) Olof Björneld Tora Hammar Daniel Nilsson Alisa Lincke Welf Löwe 18 0 0 08 Apr 2025
LLM-Aided Customizable Profiling of Code Data Based On Programming Language Concepts Pankaj Thorat Adnan Qidwai Adrija Dhar Aishwariya Chakraborty Anand Eswaran Hima Patel Praveen Jayachandran 59 0 0 19 Mar 2025
Fine-tuning -- a Transfer Learning approach Joseph Arul Raj Linglong Qian Zina M. Ibrahim 35 0 0 06 Nov 2024
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation Falaah Arif Khan Denys Herasymuk Nazar Protsiv Julia Stoyanovich VLM 31 0 0 11 Sep 2024
METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking S. Lala Niraj K. Jha 26 0 0 24 Jun 2024
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation Linglong Qian Zina Ibrahim Wenjie Du Yiyuan Yang Richard J. B. Dobson Zina Ibrahim AI4TS 40 3 0 26 May 2024
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification Han Yuan Chuan Hong Pengtao Jiang Gangming Zhao Nguyen Tuan Anh Tran Xinxing Xu Yet Yen Yan Nan Liu 36 11 0 26 Mar 2024
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future Xu Guo Yiqiang Chen SyDa 32 30 0 07 Mar 2024
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation Han Yuan Chuan Hong Nguyen Tuan Anh Tran Xinxing Xu Nan Liu 28 7 0 26 Nov 2023
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets Hanif Kia M. Vali H. Sabahi AI4CE 20 0 0 30 Sep 2023
Machine Learning Based Missing Values Imputation in Categorical Datasets Muhammad Ishaq Laila Iftikhar Mohammad Farhad Bulbul Seungmin Rho Mi Young Lee 11 2 0 10 Jun 2023
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series A. Mulyadi E. Jun Heung-Il Suk BDL 67 57 0 02 Mar 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 213 1,897 0 06 Jun 2016
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 177 4,222 0 04 May 2011