A survey of deep learning for electronic health records

J Xu, X Xi, J Chen, VS Sheng, J Ma, Z Cui - Applied Sciences, 2022 - mdpi.com
Medical data is an important part of modern medicine. However, with the rapid increase in
the amount of data, it has become hard to use this data effectively. The development of …

When to err is inhuman: An examination of the influence of artificial intelligence‐driven nursing care on patient safety

EA Johnson, KM Dudding, JM Carrington - Nursing Inquiry, 2024 - Wiley Online Library
Artificial intelligence, as a nonhuman entity, is increasingly used to inform, direct, or supplant
nursing care and clinical decision‐making. The boundaries between human‐and nonhuman …

A Comprehensive Model for Securing Sensitive Patient Data in a Clinical Scenario

AL Martínez, MG Pérez, A Ruiz-Martínez - IEEE Access, 2023 - ieeexplore.ieee.org
The clinical environment is one of the most important sources of sensitive patient data in
healthcare. These data have attracted cybercriminals who pursue the theft of this information …

[HTML][HTML] The Chilean COVID-19 Genomics Network Biorepository: A Resource for Multi-Omics Studies of COVID-19 and Long COVID in a Latin American Population

IA Signore, G Donoso, P Bocchieri, EA Tobar-Calfucoy… - Genes, 2024 - mdpi.com
Although a lack of diversity in genetic studies is an acknowledged obstacle for personalized
medicine and precision public health, Latin American populations remain particularly …

Medical Concept Normalization

H Xu, D Demner Fushman, N Hong, K Raja - … Language Processing in …, 2024 - Springer
Medical concept normalization, which maps clinical entities to concepts in standard
terminology, is essential for supporting downstream computational applications in clinical …

[引用][C] A Comprehensive Model for Securing Sensitive Patient Data in a Clinical Scenario

A López Martínez, M Gil Pérez, A Ruiz-Martínez - 2023 - IEEE