The secondary use of electronic health records for data mining: Data characteristics and challenges

T Sarwar, S Seifollahi, J Chan, X Zhang… - ACM Computing …, 2022 - dl.acm.org
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

[HTML][HTML] Emerging early diagnostic methods for acute kidney injury

Z Xiao, Q Huang, Y Yang, M Liu, Q Chen, J Huang… - Theranostics, 2022 - ncbi.nlm.nih.gov
Many factors such as trauma and COVID-19 cause acute kidney injury (AKI). Late AKI have
a very high incidence and mortality rate. Early diagnosis of AKI provides a critical therapeutic …

Machine learning to predict end stage kidney disease in chronic kidney disease

Q Bai, C Su, W Tang, Y Li - Scientific reports, 2022 - nature.com
The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

A hover view over effectual approaches on pandemic management for sustainable cities–the endowment of prospective technologies with revitalization strategies

RM Elavarasan, R Pugazhendhi, GM Shafiullah… - Sustainable Cities and …, 2021 - Elsevier
The COVID-19 pandemic affects all of society and hinders day-to-day activities from a
straightforward perspective. The pandemic has an influential impact on almost everything …

Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases

N Hurvitz, H Azmanov, A Kesler, Y Ilan - European Journal of Human …, 2021 - nature.com
Patients with rare diseases are a major challenge for healthcare systems. These patients
face three major obstacles: late diagnosis and misdiagnosis, lack of proper response to …

Primary nephrotic syndrome and risks of ESKD, cardiovascular events, and death: the Kaiser Permanente nephrotic syndrome study

AS Go, TC Tan, GM Chertow, JD Ordonez… - Journal of the …, 2021 - journals.lww.com
Methods To evaluate kidney, cardiovascular, and mortality outcomes in adults with primary
nephrotic syndrome, we identified adults within an integrated health care delivery system …

Promises of big data and artificial intelligence in nephrology and transplantation

C Thongprayoon, W Kaewput, K Kovvuru… - Journal of clinical …, 2020 - mdpi.com
Kidney diseases form part of the major health burdens experienced all over the world.
Kidney diseases are linked to high economic burden, deaths, and morbidity rates. The great …

A systematic review of technologies and standards used in the development of rule-based clinical decision support systems

P Papadopoulos, M Soflano, Y Chaudy, W Adejo… - Health and …, 2022 - Springer
Abstract A Clinical Decision Support System (CDSS) is a technology platform that uses
medical knowledge with clinical data to provide customised advice for an individual patient's …

Artificial intelligence and pediatrics: synthetic knowledge synthesis

J Završnik, P Kokol, B Žlahtič, H Blažun Vošner - Electronics, 2024 - mdpi.com
The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984.
Since then, research on AI in pediatrics has become much more popular, and the number of …

Artificial intelligence in healthcare: a mastery

J Mukherjee, R Sharma, P Dutta… - … and Genetic Engineering …, 2023 - Taylor & Francis
There is a vast development of artificial intelligence (AI) in recent years. Computational
technology, digitized data collection and enormous advancement in this field have allowed …