AIMC Topic: Lactic Acid
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
Clinical journal of the American Society of Nephrology : CJASN
Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
Bilirubin
Lactic Acid
Liver Diseases
Blood Urea Nitrogen
Leukocyte Count
United States
Creatinine
L-Lactate Dehydrogenase
Alanine Transaminase
Simplified Acute Physiology Score
Glutamyl Aminopeptidase
Electronic Health Records
Female
Aged
Male
Middle Aged
Comorbidity
Deep Learning
Sepsis
Renal Dialysis
Humans
Phenotype
Databases, Factual
Prognosis
Acute Kidney Injury
Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids.
Analytical chemistry
Sep 28, 2020
This study presents the combination of Raman spectroscopy with machine learning algorithms as a prospective diagnostic tool capable of detecting and monitoring relevant variations of pH and lactate as recognized biomarkers of several pathologies. The...
Usefulness of presepsin as diagnostic and prognostic marker of sepsis in daily clinical practice.
Journal of infection in developing countries
Nov 30, 2019
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients. Early diagnosis and appropriate treatment have a crucial influence on survival. The aim of this study was to evaluate the diagnostic and prognostic r...
Noninvasive prediction of Blood Lactate through a machine learning-based approach.
Scientific reports
Feb 18, 2019
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, exercise intensity and some anthropometric elements during aerobic exercise. This investigation aimed to establish a mathematical model to estimate [L...
Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
Journal of sports sciences
Feb 6, 2019
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...
Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.
Annals of emergency medicine
Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Modeling growth limits of Bacillus spp. spores by using deep-learning algorithm.
Food microbiology
Sep 20, 2018
Growth/no growth boundary models for Bacillus spores that accounted for the effects of environmental pH, water activity (a), acetic acid, lactic acid, bacterial strain, and storage period were developed using conventional logistic regression and mach...
Effects of carbohydrate mouth rinse and caffeine on high-intensity interval running in a fed state.
Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme
Dec 20, 2017
The current study aims to identify if mouth rinsing with a 6% carbohydrate mouth-rinse (CMR) solution and mouth rinsing and ingestion of caffeine (CMR+CAFF) can affect exercise performance during steady-state (SS) running and high-intensity intervals...
Incidence of nonresponse and individual patterns of response following sprint interval training.
Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme
Nov 3, 2015
The current study sought to explore the incidence of nonresponders for maximal or submaximal performance following a variety of sprint interval training (SIT) protocols. Data from 63 young adults from 5 previously published studies were utilized in t...
Identification and analysis of diagnostic markers related to lactate metabolism in myocardial infarction.
Pathology, research and practice
Jul 1, 2025
Lactate metabolism is implicated in myocardial infarction (MI), yet the underlying mechanisms are not fully understood. Identifying lactate metabolism-related genes (LMRGs) could uncover new diagnostic and therapeutic targets for MI. We conducted a b...
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