Revolutionizing personalized medicine with generative AI: a systematic review

I Ghebrehiwet, N Zaki, R Damseh… - Artificial Intelligence …, 2024 - Springer
Background Precision medicine, targeting treatments to individual genetic and clinical
profiles, faces challenges in data collection, costs, and privacy. Generative AI offers a …

[HTML][HTML] CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation

J Hwang, D Suh - Expert Systems with Applications, 2024 - Elsevier
The widespread use of data across various fields has made missing data imputation
technology a crucial tool. High-quality data is essential for effective energy management in …

Missing data imputation method combining random forest and generative adversarial imputation network

H Ou, Y Yao, Y He - Sensors, 2024 - mdpi.com
(1) Background: In order to solve the problem of missing time-series data due to the
influence of the acquisition system or external factors, a missing time-series data …

A Comprehensive Bibliometric Analysis of Missing Value imputation

H Nugroho, K Surendro - IEEE Access, 2024 - ieeexplore.ieee.org
Data quality plays a crucial role in tasks, such as enhancing the accuracy of data analytics
and avoiding the accumulation of redundant data. One of the significant challenges in data …

[HTML][HTML] A deep learning transformer model predicts high rates of undiagnosed rare disease in large electronic health systems

DM Jordan, HMT Vy, R Do - medRxiv, 2023 - ncbi.nlm.nih.gov
It is estimated that as many as 1 in 16 people worldwide suffer from rare diseases. Rare
disease patients face difficulty finding diagnosis and treatment for their conditions, including …