Kunhua Zhong

Chongqing Institute of Green and Intelligent Technology — China

Medicine · Health Sciences

8h-index337citations24works0.02yr avg
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Research Topics

Sepsis Diagnosis and Treatment(5), Surgical Simulation and Training(4), Machine Learning in Healthcare(4), Cardiac, Anesthesia and Surgical Outcomes(3), Acute Ischemic Stroke Management(2)

Publications24 total

Secure Multicenter Medical Model Inference from Homomorphic Encryption
Lecture notes in computer science·2025
gPSRM: A generative propensity score-based replay memory for deep reinforcement learnings
2024
Interpretable Disease Prediction Based on Kolmogorov - Arnold Networks
2024
Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU
Artificial Intelligence in Medicine·2023· 10 cited
Dynamic Nomogram for Predicting the Risk of Perioperative Neurocognitive Disorders in Adults
Anesthesia & Analgesia·2023· 7 citedOpen Access
A self‐supervised causal feature reinforcement learning method for non‐invasive hemoglobin prediction
IET Image Processing·2023· 3 citedOpen Access
Two-stage hemoglobin prediction based on prior causality
Frontiers in Public Health·2022· 16 citedOpen Access
Optimization of anesthetic decision-making in ERAS using Bayesian network
Frontiers in Medicine·2022· 3 citedOpen Access
Convolutional-de-convolutional neural networks for recognition of surgical workflow
Frontiers in Computational Neuroscience·2022· 4 citedOpen Access
An Improved Arithmetic Optimization Algorithm and Its Application to Determine the Parameters of Support Vector Machine
Mathematics·2022· 18 citedOpen Access
Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network
BMC Anesthesiology·2022· 16 citedOpen Access
Bayesian Network Structure Learning Approach Based on Searching Local Structure of Strongly Connected Components
IEEE Access·2022· 2 citedOpen Access
A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning
Journal of Clinical and Translational Hepatology·2021Open Access
A better method for the dynamic, precise estimating of blood/ haemoglobin loss based on deep learning of artificial intelligence
Annals of Translational Medicine·2020· 9 citedOpen Access
Learning to Predict in-hospital mortality risk in intensive care unit with attention-based Temporal convolution network
2020Open Access
Dynamic predict in-hospital mortality risk in intensive care unit with a new deep learning of artificial intelligence
2020Open Access
Establishment of model for predicting mortality risk after abdominal surgery using preoperative indices based on different machine learning algorithms
Zhonghua mazuixue zazhi·2019
Presence Detection of Surgical Tool Via Densely Connected Convolutional Networks
DEStech Transactions on Computer Science and Engineering·2019· 2 citedOpen Access
Semi-supervised spatio-temporal CNN for recognition of surgical workflow
EURASIP Journal on Image and Video Processing·2018· 25 citedOpen Access
Surgical workflow image generation based on generative adversarial networks
2018· 8 cited
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Frequent Co-authors

Yuwen Chen(15), Yujie Li(11), Hong-yu Zhi(6), Jianteng Gu(6), Bin Yi(6), Jiaolin Ning(5), Kaizhi Lu(5), Ju Zhang(5), Zhengyuan Xia(5), Yi Bin(5), Yu‐Wen Chen(4), Xiaolin Qin(4), Yang Chen(4), Xueliang Zhao(3), Peng Deng(3), Zhiyong Yang(3), Jiang Liu(3), Xin Shu(3), Xuehong Bai(3), Zhang Ju(3)