AIMC Topic: Serum Albumin

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A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology May 4, 2024
BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases.
Humans Machine Learning Algorithms Retrospective Studies RNA, Viral Hepacivirus Female Hepatitis C Adult Alanine Transaminase Male Aspartate Aminotransferases Middle Aged Serum Albumin Predictive Value of Tests Hepatitis C Antibodies Viremia
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Carvacrol protects against carbonyl osmolyte-induced structural modifications and aggregation to serum albumin: Insights from physicochemical and molecular interaction studies.

International journal of biological macromolecules Jun 2, 2022
The robust use of osmolytes (i.e., polyols and sugars) in the key therapeutic regimens/formulations has questioned their impact beyond the stability of therapeutic proteins as these osmolytes trigger structural alterations into proteins including mis...
Serum Albumin, Bovine Serum Albumin Cymenes Artificial Intelligence Molecular Docking Simulation Amyloid
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COVID-19 diagnosis by routine blood tests using machine learning.

Scientific reports May 24, 2021
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that ...
Serum Albumin Prothrombin Hematologic Tests COVID-19 Biomarkers Tomography, X-Ray Computed Female SARS-CoV-2 Sensitivity and Specificity Aged Humans Male Machine Learning Severity of Illness Index ROC Curve Area Under Curve Eosinophils Thorax
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A novel approach to dry weight adjustments for dialysis patients using machine learning.

PloS one Apr 23, 2021
BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of dialysis and the survival of hemodialysis patients. Recently, bioimpedance spectroscopy(BIS) has been widely used for set dry weight in hemodialysis pa...
Male Middle Aged Renal Dialysis Adipose Tissue Kidney Failure, Chronic Creatinine Body Weight Hemoglobins Body Water Electric Impedance Serum Albumin Extracellular Space Humans Machine Learning Female Aged
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Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.

American journal of nephrology Mar 19, 2021
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare.
Male Risk Assessment Age Factors Models, Statistical Lupus Nephritis Proportional Hazards Models Machine Learning Clinical Decision-Making Female Risk Factors Young Adult Adult Antibodies, Antinuclear Complement C3 Kaplan-Meier Estimate Serum Albumin Recurrence Symptom Flare Up Capillaries Humans
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Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Feb 1, 2021
OBJECTIVE: Serum protein concentrations are diagnostically and prognostically valuable in cancer and other diseases, but their measurement via blood test is uncomfortable, inconvenient, and costly. This study investigates the possibility of predictin...
Humans Machine Learning Female Adult Male Middle Aged Body Height China Vital Signs Body Mass Index Serum Albumin Age Factors Serum Globulins Predictive Value of Tests Body Weight Sex Factors
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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Preoperative Care Male Laminectomy Metastasectomy Middle Aged Spinal Neoplasms Risk Assessment Multivariate Analysis Humans Respiration, Artificial Body Mass Index Odds Ratio Machine Learning Bayes Theorem Weight Loss Serum Albumin Female Ascites Hypertension Mortality Aged Hypoalbuminemia Pulmonary Disease, Chronic Obstructive Dyspnea Blood Coagulation Disorders Smoking
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Young Adult Adult Male Middle Aged Postoperative Complications Adolescent Logistic Models Age Factors Decision Making Functional Status Neurosurgical Procedures Spondylolisthesis Spinal Fusion Clinical Decision Rules Lumbar Vertebrae Algorithms Alkaline Phosphatase Prognosis Sex Factors Humans Transplantation, Autologous Female Machine Learning Bone Transplantation Risk Factors Ilium Aged Serum Albumin Aged, 80 and over
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Leukocyte Count Middle Aged Algorithms Dyspnea Risk Assessment Vital Capacity Humans Sex Factors Female Machine Learning Lung Body Height Bronchodilator Agents Adult Age Factors Cohort Studies Alcohol Drinking Serum Globulins Cough Pulmonary Disease, Chronic Obstructive Electrocardiography Spirometry Forced Expiratory Volume Male Triglycerides Longitudinal Studies Cigarette Smoking Aging Serum Albumin Alkaline Phosphatase Hematocrit
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Age Factors Middle Aged Humans Patient Readmission Blood Transfusion Postoperative Complications Smoking Forecasting Operative Time Comorbidity Reoperation Databases, Factual Predictive Value of Tests Length of Stay Serum Albumin Female Supervised Machine Learning ROC Curve Arthroplasty, Replacement, Shoulder Aged Hematocrit Body Mass Index Male
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