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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea
Published 2025-03-01“…Considering the severe comorbidities associated with OSA, especially in the cardiovascular system, the development of early screening tools for this disease is imperative. Heart rate variability (HRV) is a simple and non-invasive approach used as a probe to evaluate cardiac autonomic modulation, with a variety of newly developed indices lacking studies with OSA patients.ObjectivesWe aimed to evaluate numerous HRV indices, derived from linear but mainly nonlinear indices, combined or not with oxygen saturation indices, for detecting the presence and severity of OSA using machine learning models.MethodsECG waveforms were collected from 291 PSG recordings to calculate 34 HRV indices. …”
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The Effect of Disclosing Sustainability Reports with the Global Reporting Initiative (GRI) G4 and Green Accounting on the Value of Mining Companies on the IDX in 2020-2023
Published 2024-12-01“…The sample includes 26 mining companies. The dependent variable in this study is Market Value, while the independent variables are Sustainability Report Disclosure and Green Accounting. …”
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Heart Rate Variability in Young Adults with Bronchial Asthma with and without Previous COVID-19 Infection: A Cross-sectional Study
Published 2025-08-01“…Introduction: Heart Rate Variability (HRV) is a validated, non invasive measure of Autonomic Nervous System (ANS) function. …”
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The Role of Forward-Looking Disclosure in the Relationship of R&D Expenditure and Firm Value: Testing Agency and Signaling Theories
Published 2024-01-01“…This study aims to examine the effect of Research and Development (R&D) expenditure on firm value with forward-looking disclosure as a moderating variable. …”
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Comparison of sample preparation methods for higher heating values in various sugarcane varieties using near-infrared spectroscopy
Published 2025-08-01“…Spectral data were pre-processed using seven techniques to minimize noise, and four variable selection algorithms–Variable Importance in Projection, Successive Projection Algorithm, Genetic Algorithm, and correlation-based selection via Partial Least Squares Regression–were employed to improve modelling accuracy.In parallel, four machine learning models–AdaBoost Regressor, Gradient Boosting, K-Nearest Neighbors, and Random Forest–were applied to the same dataset for Higher heating value prediction. …”
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Exploring the relationship between corporate governance and firm value: evidence from LQ45 companies (2010-2014)
Published 2024-12-01“…This study aims to examine the impact of these variables on firm value for companies listed in the LQ45 Index during the period 2010-2014. …”
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High Variability in Human Sperm Membrane Potential over Time Can Limit Its Reliability as a Predictor in ART Outcomes
Published 2025-07-01“…Our results showed that <i>E</i>m values exhibited significant intra-donor variability over time (<i>p</i> = 0.007), with approximately half of the donors crossing the −48.6 mV functional threshold across sessions. …”
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The influence of type 2 diabetes mellitus on the frequency and complexity of ventricular arrhythmias and heart rate variability in patients after myocardial infarction
Published 2016-01-01“…Background/Aim. After myocardial infarction arrhythmic cardiac deaths are significantly more frequent compared to non-arrhythmic ones. …”
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Effects of individualized resistance training prescription with heart rate variability on muscle strength, muscle size and functional performance in older women
Published 2024-12-01“…IntroductionThis study aimed to investigate whether individualizing autonomic recovery periods between resistance training (RT) sessions (IND) using heart rate variability (HRV), measured by the root mean square of successive R-R interval differences (RMSSD), would lead to greater and more consistent improvements in muscle strength, muscle mass, and functional performance in older women compared to a fixed recovery protocol (FIX).MethodsTwenty-one older women (age 66.0 ± 5.0 years old) were randomized into two different protocols (IND: n = 11; FIX: n = 10) and completed 7 weeks of RT. …”
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Critical review, meta-analysis and harmonization of life cycle assessment of mass timber construction: reducing variability in environmental impact estimates
Published 2025-01-01“…Mass timber construction (MTC) is gaining global popularity as it aims to increase carbon storage in buildings, thereby reducing their carbon footprint. …”
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Evaluating interannual variability in 1-month CFSv2 forecasts with different lead times at monthly and daily scales in South Korea
Published 2025-01-01“…In this light, this study assesses the 1-month CFSv2 forecast skill over South Korea, focusing on the impact of varying lead times on predictability of interannual variability of temperature and precipitation. For the summer season from 2011 to 2023, temperature and precipitation on monthly and daily scales from CFSv2 forecasts for each month, with lead times ranging from 6 h to 240 h, were compared with observed values in terms of anomaly correlation coefficients (ACCs). …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study
Published 2024-12-01“…The objective of this study was to explore the association between heart rate variability (HRV) and depression, with the aim of establishing and validating machine learning models for the auxiliary diagnosis of depression. …”
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Glycemic variability in type 2 diabetic patients with metabolic dysfunction-associated steatotic liver disease: a case-control study
Published 2025-12-01“…Aims A case-control study was conducted to assess glycemic variability (GV) in individuals diagnosed with metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (T2DM), as well as in those with either condition independently.Methods This study encompassed 2897 consecutive inpatients diagnosed with diabetes at the Department of Endocrinology, Ningbo No.2 Hospital. …”
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The relationship between homocysteine levels and blood pressure variability with early renal injury marker NGAL in patients with H-type hypertension
Published 2025-06-01“…Objectives We aimed to determine whether homocysteine (HCY) levels and BPV independently and interactively predict NGAL in patients with H-type hypertension. …”
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Assessing particulate matter (PM2.5) concentrations and variability across Maharashtra using satellite data and machine learning techniques
Published 2025-04-01“…In this context, the present study aims to predict PM2.5 concentrations across Maharashtra, India, for the year 2023, employing machine learning models to improve spatial and temporal air quality assessments. …”
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DEVELOPMENT OF NONPARAMETRIC PATH FUNCTION USING HYBRID TRUNCATED SPLINE AND KERNEL FOR MODELING WASTE-TO-ECONOMIC VALUE BEHAVIOR
Published 2025-01-01“…In addition, the significance of the best nonparametric truncated spline and kernel hybrid path function estimation using jackknife resampling shows that all exogenous variables have a significant effect on endogenous variables as evidenced by a p-value smaller than (0.05).…”
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