Publications by authors named "Thi Phuoc Van Nguyen"
Article Synopsis
- Applying artificial intelligence in healthcare, especially for STI and HIV prediction, is crucial but requires protecting sensitive data through advanced methods.
- The study utilized federated learning and homomorphic encryption on a large dataset from eight countries, training models without compromising privacy.
- Results showed significant performance improvement in predicting risk, with AUC rising from 0.78 to 0.94, indicating the effectiveness of decentralized data analysis in enhancing healthcare outcomes.
This paper presents a solution that prioritises high privacy protection and improves communication throughput for predicting the risk of sexually transmissible infections/human immunodeficiency virus (STIs/HIV). The approach utilised Federated Learning (FL) to construct a model from multiple clinics and key stakeholders. FL ensured that only models were shared between clinics, minimising the risk of personal information leakage.
View Article and Find Full Text PDFThis paper presents a survey of recent developments using Doppler radar sensor in searching and locating an alive person under debris or behind a wall. Locating a human and detecting the vital signs such as breathing rate and heartbeat using a microwave sensor is a non-invasive technique. Recently, many hardware structures, signal processing approaches, and integrated systems have been introduced by researchers in this field.
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