AIMC Topic: Hemoglobins
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Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.
Clinics in orthopedic surgery
Dec 8, 2020
BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient outcomes. The hemoglobin level declines gradually in most hip fracture cases involving femoral neck fractures and intertrochanteric fractures. It decreas...
Conformational changes of β-thalassemia major hemoglobin and oxidative status of plasma after in vitro exposure to extremely low-frequency electromagnetic fields: An artificial neural network analysis.
Electromagnetic biology and medicine
Oct 23, 2020
Electromagnetic fields (EMF) can generate reactive oxygen species and induce oxidative modifications. We investigated the effects of extremely low-frequency electromagnetic fields (ELF-EMF) on oxidative status of plasma and erythrocytes in β-thalasse...
Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy.
Communications biology
Sep 28, 2020
Translation of the findings in basic science and clinical research into routine practice is hampered by large variations in human phenotype. Developments in genotyping and phenotyping, such as proteomics and lipidomics, are beginning to address these...
Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin.
Journal of physiology and pharmacology : an official journal of the Polish Physiological Society
Jan 30, 2020
Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are sca...
Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes.
Hormone molecular biology and clinical investigation
Jan 11, 2020
Background The global trend of obesity and diabetes is considerable. Recently, the early diagnosis and accurate prediction of type 2 diabetes mellitus (T2DM) patients have been planned to be estimated according to precise and reliable methods, artifi...
Non-Invasive Estimation of Hemoglobin Using a Multi-Model Stacking Regressor.
IEEE journal of biomedical and health informatics
Nov 20, 2019
OBJECTIVE: We describe a novel machine-learning based method to estimate total Hemoglobin (Hb) using photoplethysmograms (PPGs) acquired non-invasively.
KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.
PloS one
Oct 3, 2019
BACKGROUND AND OBJECTIVE: To take full advantage of decision support, machine learning, and patient-level prediction models, it is important that models are not only created, but also deployed in a clinical setting. The KETOS platform demonstrated in...
Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.
JAMA network open
Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
ROC Curve
Predictive Value of Tests
Area Under Curve
Glycated Hemoglobin
Hemoglobins
Adult
Sensitivity and Specificity
Male
Middle Aged
Troponin I
L-Lactate Dehydrogenase
Blood Urea Nitrogen
Leukocyte Count
Clinical Laboratory Techniques
Humans
Machine Learning
Retrospective Studies
Female
Hospitalization
Aged
Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jun 28, 2019
PURPOSE: A blood transfusion after total knee arthroplasty (TKA) is associated with an increase in complication and infection rates. However, no studies have been conducted to predict transfusion after TKA using a machine learning algorithm. The purp...
Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Male
Middle Aged
Gastrointestinal Hemorrhage
Risk Assessment
Humans
Hepatic Encephalopathy
Mass Screening
Severity of Illness Index
Machine Learning
Serum Albumin
Hepatitis C, Chronic
Liver Cirrhosis
International Normalized Ratio
Prospective Studies
Non-alcoholic Fatty Liver Disease
Blood Urea Nitrogen
Alanine Transaminase
Esophageal and Gastric Varices
Female
Endoscopy, Digestive System
Hemoglobins
Thrombocytopenia
Aspartate Aminotransferases
Ascites
Aged
Bilirubin
Sodium
Creatinine
Platelet Count
Liver Cirrhosis, Alcoholic
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