AIMC Topic: Cholesterol, LDL

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Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning.

Annals of clinical biochemistry Jun 5, 2023
OBJECTIVES: We evaluated the applicability of a machine learning-based low-density lipoprotein-cholesterol (LDL-C) estimation method and the influence of the characteristics of the training datasets.
Machine Learning Research Design Cholesterol, LDL Triglycerides Humans
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Estimation of low-density lipoprotein cholesterol levels using machine learning.

International journal of cardiology Jan 20, 2022
BACKGROUND: Low-density lipoprotein-cholesterol (LDL-C) is used as a threshold and target for treating dyslipidemia. Although the Friedewald equation is widely used to estimate LDL-C, it has been known to be inaccurate in the case of high triglycerid...
Humans Machine Learning Algorithms Cholesterol, LDL Cholesterol, HDL Dyslipidemias Triglycerides
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Machine learning predictive models of LDL-C in the population of eastern India and its comparison with directly measured and calculated LDL-C.

Annals of clinical biochemistry Oct 6, 2021
BACKGROUND: LDL-C is a strong risk factor for cardiovascular disorders. The formulas used to calculate LDL-C showed varying performance in different populations. Machine learning models can study complex interactions between the variables and can be ...
Risk Factors Cardiovascular Diseases Cholesterol, LDL Humans Triglycerides Machine Learning
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Is Machine Learning-derived Low-Density Lipoprotein Cholesterol estimation more reliable than standard closed form equations? Insights from a laboratory database by comparison with a direct homogeneous assay.

Clinica chimica acta; international journal of clinical chemistry May 13, 2021
BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol (LDL-C) in routine laboratories.
Cholesterol, LDL Laboratories France Triglycerides Aged Adult Middle Aged Humans Machine Learning Retrospective Studies Female
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Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Lipids in health and disease May 6, 2021
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratific...
Male Middle Aged Risk Assessment Unsupervised Machine Learning Humans Prognosis Female Aged Patient Readmission Cholesterol, HDL Triglycerides Kaplan-Meier Estimate Apolipoprotein B-100 Lipoprotein(a) Percutaneous Coronary Intervention Cholesterol, LDL Lipid Metabolism Patient Selection Principal Component Analysis ST Elevation Myocardial Infarction Apolipoprotein A-I
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Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.

PloS one Sep 30, 2020
BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. Contemporary equations for LDL-C estimation have limited accuracy in certain scenarios (high triglycerides [TG], very low LDL-C).
Cholesterol, LDL Hyperlipidemias Cholesterol, HDL Triglycerides Adult Male Middle Aged Data Interpretation, Statistical Machine Learning Female Aged Humans
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Biomarkers Retrospective Studies Female Risk Factors Animals Male Case-Control Studies Amyloidosis Diarrhea Cholesterol, LDL Triglycerides Humans Adenocarcinoma Arthritis Macaca mulatta Gastrointestinal Neoplasms Machine Learning Disease Models, Animal Colitis Wounds and Injuries Endometriosis Models, Statistical Serum Amyloid A Protein Cholesterol, HDL
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Deep neural network for estimating low density lipoprotein cholesterol.

Clinica chimica acta; international journal of clinical chemistry Nov 15, 2018
BACKGROUND: LDL cholesterol (LDL-C) has been mainly estimated using the Friedewald equation, and other equations have recently been developed to complement the Friedewald equation. The present study aims to employ a deep neural network (DNN) to impro...
Neural Networks, Computer Cholesterol, LDL Blood Chemical Analysis Male Middle Aged Female Surveys and Questionnaires Humans Aged Adult
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Effect of daily intake of a low-alcohol orange beverage on cardiovascular risk factors in hypercholesterolemic humans.

Food research international (Ottawa, Ont.) Aug 3, 2018
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play a major role in cardiovascular disease. Bioactive compounds and moderate alcohol consumption have been associated with decreased cardiovascular risk....
Hypercholesterolemia Antioxidants Adult Thiobarbituric Acid Reactive Substances Humans Inflammation Male Fruit and Vegetable Juices Cholesterol, LDL Female Cardiovascular Diseases Cholesterol, HDL Catalase Oxidative Stress Risk Factors Alcoholic Beverages Citrus sinensis
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Predicting proprotein convertase subtilisin kexin type-9 loss of function mutations using plasma PCSK9 concentration.

Journal of clinical lipidology Oct 3, 2016
BACKGROUND: Low plasma proprotein convertase subtilisin kexin type-9 (PCSK9) concentration has been associated with loss of function (LOF) PCSK9 mutations in several studies. However, the current standard for detection of these LOF mutations is throu...
Retrospective Studies Adolescent Child Mutation Cholesterol, LDL Humans Genotyping Techniques Proprotein Convertase 9
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