ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.08245
  4. Cited By
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit
  Information for Septic Shock Early Prediction
v1v2 (latest)

Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction

IEEE International Conference on Healthcare Informatics (ICHI), 2022
15 March 2022
Ge Gao
Farzaneh Khoshnevisan
Min Chi
ArXiv (abs)PDFHTML

Papers citing "Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction"

4 / 4 papers shown
Title
Sampling-guided Heterogeneous Graph Neural Network with Temporal
  Smoothing for Scalable Longitudinal Data Imputation
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
Zhaoyang Zhang
Ziqi Chen
Qiao Liu
Jinhan Xie
Hongtu Zhu
149
0
0
07 Nov 2024
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and HealthcareAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Ge Gao
Song Ju
Markel Sanz Ausin
Min Chi
OffRL
175
8
0
18 Feb 2023
Deep Imputation of Missing Values in Time Series Health Data: A Review
  with Benchmarking
Deep Imputation of Missing Values in Time Series Health Data: A Review with BenchmarkingJournal of Biomedical Informatics (JBI), 2023
Maksims Kazijevs
Manar D. Samad
BDLAI4TS
239
58
0
10 Feb 2023
Optimal discharge of patients from intensive care via a data-driven
  policy learning framework
Optimal discharge of patients from intensive care via a data-driven policy learning framework
F. Lejarza
J. Calvert
Misty M. Attwood
D. Evans
Q. Mao
OffRL
138
6
0
17 Dec 2021
1