Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data

no code implementations • 3 Jun 2023 • Tongyue Shi, Zhilong Zhang, Wentie Liu, Junhua Fang, Jianguo Hao, Shuai Jin, Huiying Zhao, Guilan Kong

This study employed the MIMIC-IV database as data source to investigate the use of dynamic, high-frequency, multivariate time-series vital signs data, including temperature, heart rate, mean blood pressure, respiratory rate, and SpO2, monitored first 8 hours data in the ICU stay.

Clustering ICU Mortality +3

Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification

1 code implementation • 27 Jan 2022 • Feng Yang, Yichao Cao, Qifan Xue, Shuai Jin, Xuanpeng Li, Weigong Zhang

Learning a powerful representation from point clouds is a fundamental and challenging problem in the field of computer vision.

3D Point Cloud Classification Contrastive Learning +1

Fast PDN Impedance Prediction Using Deep Learning

no code implementations • 20 Jun 2021 • Ling Zhang, Jack Juang, Zurab Kiguradze, Bo Pu, Shuai Jin, Songping Wu, Zhiping Yang, Chulsoon Hwang

Modeling and simulating a power distribution network (PDN) for printed circuit boards (PCBs) with irregular board shapes and multi-layer stackup is computationally inefficient using full-wave simulations.