Electronic Health Record Signatures Identify Undiagnosed Patients with Common Variable Immunodeficiency Disease

Electronic Health Record Signatures Identify Undiagnosed Patients with Common Variable Immunodeficiency Disease

Medicine, Rheumatology and Immunology, Environmental and Public Health,
Common Variable Immunodeficiency   Electronic Health Records   Machine Learning Algorithm   Immune System   Disease Diagnosis   Artificial Intelligence   Phenotype  

Utilizing Electronic Health Record Features to Identify Undiagnosed Patients with Common Subtype of Immunodeficiency Recently, Johnson and colleagues published a study titled “Electronic health record signatures identify undiagnosed patients with common variable immunodeficiency disease” in Science Translational Medicine. This research utilizes ele...

Strokeclassifier: Ischemic Stroke Etiology Classification by Ensemble Consensus Modeling Using Electronic Health Records

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health, Neurology,
stroke   machine learning   artificial intelligence   etiology classification   health records   diagnostic accuracy   secondary prevention  

StrokeClassifier: An AI Tool for Etiological Classification of Ischemic Stroke Based on Electronic Health Records Project Background and Motivation Identifying the etiology of strokes, particularly acute ischemic stroke (AIS), is crucial for secondary prevention, but it is often very challenging. In the United States, there are nearly 676,000 new c...

Large Language Models to Identify Social Determinants of Health in Electronic Health Records

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health, Humanities and Others,
large language models   social determinants of health   electronic health records   natural language processing   model optimization   synthetic data generation  

Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...

Medical History Predicts Phenome-Wide Disease Onset and Enables the Rapid Response to Emerging Health Threats

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health,
medical history   disease prediction   rapid response   COVID-19   neural network   risk stratification  

Using Medical Records to Predict Common Disease Incidence and Support Rapid Response to Emerging Health Threats Research Background and Motivation The COVID-19 pandemic exposed systemic issues and a lack of data-driven guidance globally, significantly affecting the identification of high-risk populations and pandemic preparedness. Assessing individ...

Intimate Care Products and Incidence of Hormone-Related Cancers: A Quantitative Bias Analysis

Medicine, Nursing, Environmental and Public Health, Oncology,
Intimate Care Products   Hormone-Related Cancers   Genital Talc   Douching   Recall Bias   Exposure Misclassification   US Cohort Study  

Incidence of Hormone-Related Cancers and Intimate Care Products Introduction In recent years, there has been an increasing concern about the safety of intimate care products that may contain potential endocrine disrupting chemicals, such as phthalates, parabens, and bisphenols. These chemicals are believed to alter endogenous hormone levels, influe...

Feasibility of Electronic Patient-Reported Outcomes in Older Cancer Patients

Medicine, Environmental and Public Health, Oncology,
electronic patient-reported outcomes   older patients   cancer care   remote monitoring   quality of life   technological barriers  

Multicenter Prospective Study: Feasibility of Electronic Patient-Reported Outcomes (ePROs) in Elderly Cancer Patients Research Background In recent years, telemedicine has developed rapidly, especially during the COVID-19 pandemic, and is considered a solution to the problem of medical personnel shortages. Electronic patient-reported outcomes (ePRO...

Epidemiology of Intimate Partner and Domestic Violence-Related Traumatic Brain Injury in the United States

Medicine, Environmental and Public Health, Neurology, Neurosurgery, Clinical Psychology,
injury   brain injury   epidemiology   domestic violence   intimate partner violence  

Epidemiological Study of Intimate Partner and Domestic Violence-Related Traumatic Brain Injuries in the United States from 2018-2021 Background Intimate partner violence (IPV) and domestic violence (DV) have severe medical, social, and legal consequences for victims. These violent events often result in traumatic brain injuries (TBIs), further exac...