AIMC Topic: Vitamin K

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Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters.

Neurologia medico-chirurgica Dec 25, 2024
This study aimed to investigate the patterns of anticoagulation therapy and coagulation parameters and to develop a prediction model to predict the type of anticoagulation therapy in geriatric patients with traumatic brain injury. A retrospective ana...
Aged Aged, 80 and over Male Machine Learning Retrospective Studies Female Japan Vitamin K Partial Thromboplastin Time Brain Injuries, Traumatic Anticoagulants International Normalized Ratio Humans
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Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

Frontiers in endocrinology Feb 17, 2022
BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies have evaluated the association between multivitamins intake and obesity in children and adolescents.
Child Vitamin A Nutrition Surveys Prospective Studies Vitamin D Pediatric Obesity Vitamin B 12 Cross-Sectional Studies Humans Vitamin K Bayes Theorem Adolescent Vitamins Machine Learning
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Development of neuro-fuzzy model to explore gene-nutrient interactions modulating warfarin dose requirement.

Pharmacogenomics Jul 27, 2016
AIM: To investigate the influence of alterations in vitamin K (K1, K2 and K3) in modulating warfarin dose requirement.
Polymorphism, Genetic Asian People Genetic Variation Vitamin K Humans Child Female Male Genotype Aged Fuzzy Logic Middle Aged Models, Neurological Young Adult Anticoagulants Adolescent Adult Warfarin
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[Upgrading microbial strains for fermentation industry].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Nov 25, 2022
Fermentation is a green, low-carbon and sustainable process for the production of food, chemicals, fuels, and materials by using microbial strains as biocatalysts and renewable resources such as starch and biomass as feedstocks. China has the world's...
Artificial Intelligence Carbon Amino Acids Vitamin K Fermentation
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New artificial intelligence prediction model using serial prothrombin time international normalized ratio measurements in atrial fibrillation patients on vitamin K antagonists: GARFIELD-AF.

European heart journal. Cardiovascular pharmacotherapy Sep 1, 2020
AIMS: Most clinical risk stratification models are based on measurement at a single time-point rather than serial measurements. Artificial intelligence (AI) is able to predict one-dimensional outcomes from multi-dimensional datasets. Using data from ...
Time Factors Treatment Outcome Predictive Value of Tests Aged, 80 and over Male Risk Assessment Drug Monitoring Registries Stroke Anticoagulants Blood Coagulation International Normalized Ratio Databases, Factual Prospective Studies Female Reproducibility of Results Risk Factors Aged Humans Neural Networks, Computer Hemorrhage Administration, Oral Prothrombin Time Atrial Fibrillation Drug Therapy, Computer-Assisted Vitamin K
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Comparison of non-vitamin K antagonist oral anticoagulants and warfarin on clinical outcomes in atrial fibrillation patients with renal dysfunction.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Oct 1, 2015
AIMS: We aimed to compare the efficacy and safety between non-vitamin K antagonist oral anticoagulants (NOACs) and warfarin in atrial fibrillation (AF) patients according to renal dysfunction.
Atrial Fibrillation Vitamin K Hemorrhage Thromboembolism Kidney Diseases Anticoagulants Warfarin Comorbidity Treatment Outcome Causality Humans Retrospective Studies Republic of Korea Survival Rate Male Prevalence Female Risk Factors Aged
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