AIMC Topic: Prevalence

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Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare.

Nature communications Jan 29, 2021
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artifici...
ROC Curve Predictive Value of Tests Feasibility Studies Data Mining Early Diagnosis Clinical Decision Rules Risk Assessment Prevalence Severity of Illness Index Sepsis Humans Time Factors Machine Learning Intensive Care Units Electronic Health Records
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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Cardiovascular diabetology Jan 29, 2021
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term ris...
Risk Assessment Prevalence Deep Learning Time Factors Humans Metabolic Syndrome Prospective Studies Prognosis Female Los Angeles Tomography, X-Ray Computed Aged Adipose Tissue Heart Diseases Aged, 80 and over Predictive Value of Tests Adiposity Male Radiographic Image Interpretation, Computer-Assisted Pericardium Middle Aged Registries Cardiometabolic Risk Factors Non-alcoholic Fatty Liver Disease
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Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
Humans Machine Learning Algorithms Phenotype Electronic Health Records Female Male Prevalence International Classification of Diseases Suicide, Attempted Cohort Studies ROC Curve Natural Language Processing Data Mining
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Prevalence of and Risk Factors for Hypovitaminosis D in Patients with Rotator Cuff Tears.

Clinics in orthopedic surgery Dec 21, 2020
BACKGROUD: It has been reported that vitamin D may play an important role in rotator cuff tears. However, there has been limited information about the prevalence of and risk factors for hypovitaminosis D in patients with rotator cuff tears. Therefore...
Vitamin D Deficiency Aged, 80 and over Age Factors Adult Humans Sex Factors Middle Aged Retrospective Studies Rotator Cuff Injuries Prevalence Risk Factors Vitamin D Aged
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Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Assigning meaningful probabilities of SARS-CoV-2 infection risk presents a diagnostic challenge across the continuum of care.
Aged Aged, 80 and over Male Middle Aged Prevalence Humans Machine Learning COVID-19 Female Fever COVID-19 Testing Probability California Risk Comorbidity Decision Support Systems, Clinical Cough Bayes Theorem Benchmarking Symptom Assessment
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

Journal of diabetes research Dec 15, 2020
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR.
Image Interpretation, Computer-Assisted Photography National Health Programs Longitudinal Studies Predictive Value of Tests Fundus Oculi Macular Edema Aged Humans Severity of Illness Index Male Diabetic Retinopathy Deep Learning Middle Aged Female Incidence Prevalence Reproducibility of Results Cell Proliferation Thailand Mass Screening
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The Prevalence of Euthyroid Hypertriiodothyroninemia in Newly Diagnosed Multiple Myeloma and its Clinical Characteristics.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Dec 13, 2020
OBJECTIVE: To evaluate the prevalence of euthyroid hypertriiodothyroninemia and/or hyperthyroxinemia and its clinical characteristics in multiple myeloma (MM) patients.
Humans Prevalence Thyrotropin Thyroxine Multiple Myeloma Triiodothyronine
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Hepatitis C viral load and genotypes among Nigerian subjects with chronic infection and implication for patient management: a retrospective review of data.

The Pan African medical journal Dec 10, 2020
INTRODUCTION: Hepatitis C Virus (HCV) is highly infectious with no currently available vaccine. Prior to treatment, it is recommended to confirm HCV infection with either quantitative or qualitative nucleic acid test. Access to these assays in Nigeri...
Hepacivirus Hepatitis C, Chronic Adolescent Nigeria Viral Load Antiviral Agents Genotype Adult Male Middle Aged Prevalence Retrospective Studies Humans Female Aged Aged, 80 and over Young Adult
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Acute hyperglycaemia in cystic fibrosis pulmonary exacerbations.

Endocrinology, diabetes & metabolism Nov 30, 2020
BACKGROUND: Hyperglycaemia may contribute to failure to recover from pulmonary exacerbations in cystic fibrosis (CF). We aimed to evaluate the prevalence and mechanism of hyperglycaemia during and post-exacerbations.
Cystic Fibrosis Glucose Tolerance Test Insulin Secretion Adolescent Child Humans Female Hyperglycemia Monitoring, Physiologic Young Adult Acute Disease Male Disease Progression Prevalence
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Design and rationale of an intelligent algorithm to detect BuRnoUt in HeaLthcare workers in COVID era using ECG and artificiaL intelligence: The BRUCEE-LI study.

Indian heart journal Nov 24, 2020
BACKGROUND: There is no large contemporary data from India to see the prevalence of burnout in HCWs in covid era. Burnout and mental stress is associated with electrocardiographic changes detectable by artificial intelligence (AI).
Electrocardiography COVID-19 Research Design Health Personnel Female SARS-CoV-2 Cross-Sectional Studies Male Prevalence Burnout, Professional India Humans Artificial Intelligence
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