Article

A Data Privacy Protection Method for Infectious Disease Prediction Models with Balanced Training Speed and Accuracy

2025-12-03

Abstract excerpt

<title>Abstract</title> <p>Recently, the application of deep learning technologies in the construction of infectious disease prediction models has significantly increased their auxiliary effectiveness in formulating prevention and control strategies for infectious diseases. Typically, scientists rely on extensive datasets to thoroughly train models, aiming to generate ones with high predictive accuracy to forecas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6196817d-3e4d-5704-b441-908d8171f460
DOI: 10.21203/rs.3.rs-7728227/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Data Privacy Protection Method for Infectious Disease Prediction Models with Balanced Training Speed and AccuracyDOI 10.21203/rs.3.rs-7728227/v1Read

<em>ppAIsec</em>: Privacy-Preserving Artificial Intelligence Models in Healthcare Security—A Synthesis of AI FrameworksSemantic proximity Read

A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequencesSemantic proximity Read

Hide and Seek: Privacy-Preserving Artificial Intelligence with a Feasibility Study in Rare Disease DiagnosisSemantic proximity Read

Privacy-Preserving Machine Learning (PPML)Inference for Clinically Actionable Models: How to Monetize ESSG Modelling Efforts?Semantic proximity Read

FedXGB-OptDP: A Privacy-Optimised Federated XGBoost Framework with Differential Privacy for IID and Non-IID healthcare dataSemantic proximity Read

Wavelet-Domain Privacy SGD (WDP-SGD): FrequencySelective Privacy-Preserving Medical AI.Semantic proximity Read

A Secure High-Order Gene Interaction Detecting Method for Infectious Diseases.Semantic proximity Read

Differentially Private Distributed Inference for Multicenter Clinical StudiesSemantic proximity Read

NoisyFlow: Differentially Private Optimal Transport Using Neural Networks for Secure Biomedical Data SharingSemantic proximity Read

Fully Homomorphic Collaborative Learning for Safe Cross-Healthcare Institution Development and Implementation of Foundation ModelsSemantic proximity Read

Truly Privacy-Preserving Federated Analytics for Precision Medicine with Multiparty Homomorphic EncryptionSemantic proximity Read

CoVnita: An End-to-end Privacy-preserving Framework for SARS-CoV-2 ClassificationSemantic proximity Read