Latest AI and machine learning research in surveillance for healthcare professionals.
PURPOSE OF REVIEW: There is conflicting data on the effectiveness of the currently recommended endos...
BACKGROUND: Healthcare-associated infections (HAIs) are the most frequent adverse events in healthca...
The efficiency of disease prevention and medical care service necessitated the prediction of inciden...
Cancer registries collect unstructured and structured cancer data for surveillance purposes which pr...
The existing flaws in both conducting and reporting of research have been outlined and criticized in...
AIMS: We conducted a systematic review assessing the reporting quality of studies validating models ...
Recently, significant attention has been devoted to vaccine-derived poliovirus (VDPV) surveillance d...
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the post...
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underre...
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optim...
BACKGROUND: Vitamin B deficiency is common worldwide and may lead to psychiatric symptoms; however, ...
BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use i...
The use of natural language data for animal population surveillance represents a valuable opportunit...
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding co...
COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consen...
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...
Avian influenza (AI) is a viral infectious disease that affects all species of domestic and wild bir...
Medication errors often occurred due to the breach of medication rights that are the right patient, ...
In a context of nematodicidal resistance, anthelmintic combinations have emerged as a reliable pharm...
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, locati...
A typical challenge in air pollution epidemiology is to perform detailed exposure assessment for ind...