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2001
Development and validation of a prediction model of hospital mortality for patients with cardiac arrest survived 24 hours after cardiopulmonary resuscitation
Published 2025-01-01“…We identified variables linked to hospital mortality in the training set using Least Absolute Shrinkage and Selection Operator (LASSO) regression, as well as univariate and multivariate logistic analyses. …”
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2002
Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach
Published 2020-01-01“…Eight input combinations based on different parameters have been established as well as nine statistical performance measures have been used for evaluating the accuracy of adopted models, for instance, not limited, correlation of determination (R2), mean absolute relative error (MAE), and uncertainty at 95% (U95). …”
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2003
Integration of a specialist pharmacist-led multidisciplinary team in primary care: preventing strokes in people with atrial fibrillation across North East London
Published 2025-01-01“…Repeated data extraction in March 2023, showed 94% of patients with AF at high ischaemic risk were anticoagulated, an absolute improvement of 13%, with 415 patients initiated on anticoagulant therapy over 3 years, translating to 17 strokes prevented. …”
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2004
Comparative effectiveness of laparoscopic versus open colectomy in colon cancer patients: a study protocol for emulating a target trial using cancer registry data
Published 2025-01-01“…Further to the hazard ratio, we will also compute differences in the absolute risk (at 1, 3, and 5 years) and restricted mean survival time (up to 1, 3, and 5 years). …”
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2005
Enhancing epigenetic aging clocks in cetaceans: accurate age estimations in small endangered delphinids, killer whales, pilot whales, belugas, humpbacks, and bowhead whales
Published 2025-02-01“…We used elastic net regression with leave one sample out (LOO) and leave one species out (LOSO) cross validation to produce highly accurate blood only (Median Absolute Error [MAE] = 1.64 years, r = 0.96), skin only (MAE = 2.32 years, r = 0.94) and blood and skin multi-tissue (MAE = 2.24 years, r = 0.94) clocks. …”
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2006
Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China
Published 2020-01-01“…We used prospective cohort study data for 82938 individuals aged ≥20 years free of T2DM collected between 2010 and 2016 and divided them into a training (n = 58056) and a validation set (n = 24882). Using the least absolute shrinkage and selection operator (LASSO) regression model in training set, we identified optimized risk factors of T2DM, followed by the establishment of T2DM prediction nomogram. …”
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2007
Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis
Published 2025-02-01“…The cohort was randomly divided into a training set (447 patients) and a validation set (150 patients). The least absolute shrinkage and selection operator (LASSO) regression cross-validation method was utilized to identify key features for model construction. …”
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2008
Estimation the pH of CO2-saturated NaCl solutions using gene expression programming: Implications for CO2 sequestration
Published 2025-03-01“…A cumulative frequency plot of absolute relative error showed all data points had errors below 0.102, with over 90 % below 0.0615. …”
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2009
Emulsifying Properties of Dietary Fiber from Different Sources
Published 2025-02-01“…The results showed that when the fiber concentration increased from 1% to 3%, the particle size D4,3 of all emulsions decreased significantly (P<0.05) by 49.94%, 44.02%, 33.68%, 1.01% and 0.17%, respectively, for rice bran, banana peel, apple peel, oat bran and citrus dietary fiber emulsions. The absolute value of Zeta potential and apparent viscosity increased with increasing fiber concentration, and both reached the maximum value in the rice bran dietary fiber emulsion with fiber concentration of 3% (Zeta potential value: −59.45 mV; viscosity: 15.88 mPa·s). …”
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2010
DEVICE FOR CALIBRATION OF THE PRESSURE SENSOR OF GRANULAR BULK MATERIALS
Published 2024-12-01“…Pressure measurements are indirect - based on the absolute value of the movement of the sensor platform, which perceives the pressure of the bulk material, relative to the sensor body, the amount of pressure of the bulk material on the sensor was estimated. …”
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2011
Dıscrete-tıme dynamıc water qualıty ındex model ın coastal water
Published 2021-04-01“…FINDINGS: The software including the daily based discrete-time transfer function and the input sources was successfully applied to predict past and future water quality index changes with 4.2 percent, 4.3 percent, and 7.1 percent of the absolute maximum errors respectively in Fethiye, Kaş, and Bucak stations. …”
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2012
Transgenerational effect of prenatal stress on behavior and lipid peroxidation in brain structures of female rats during the estral cycle
Published 2024-07-01“…If both F1 parents were prenatally stressed, female F2 rats retained interstage differences similar to the control pattern, while their locomotor-exploratory activity and time spent in the center of an “open field” decreased in absolute values. In the neocortex of F2 females in groups with prenatally stressed mothers, the level of primary LP products decreased and the level of Schiff bases increased in the estrus stage. …”
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2013
Estimation of median LC50 and toxicity of environmentally relevant concentrations of thiram in Labeo rohita
Published 2025-02-01“…There observed a significant (p < 0.05) decrease in the body weight while a significant increase in the relative (p < 0.05) and absolute (p < 0.05) weights of kidneys, heart and brain was found. …”
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2014
Real-World Assessment of Weight Change in People with HIV-1 After Initiating Integrase Strand Transfer Inhibitors or Protease Inhibitors
Published 2020-07-01“…Weight change was reported as absolute change and proportion of patients with increased weight. …”
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2015
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan
Published 2025-01-01“…Performance of the model was assessed using Mean Squared Error, Root Mean Squared Error, Mean Absolute Error, and R-squared metrics. When looking at the overall performance of the various models, it’s clear that the Random Forest model is more effective, achieving a Root Mean Square Error of 0.64. …”
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2016
High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
Published 2025-01-01“…Experiments conducted in the Dananhu–Tousuquan Island Arc region of East Tianshan demonstrate that MSSF-SCR achieves superior performance in terms of R-squared (<inline-formula><tex-math notation="LaTeX">$R^{2}$</tex-math></inline-formula>) score, Pearson correlation coefficient (<italic>R</italic>), mean absolute error, and root-mean-squared error indices for five elements (Al<sub>2</sub>O<sub>3</sub>, Fe<sub>2</sub>O<sub>3</sub>, K<sub>2</sub>O, MgO, and SiO<sub>2</sub>).…”
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2017
Antibiotic Prophylaxis Prescribing Practices for Dental Implant Placement in Croatia: A Questionnaire-Based Cross-Sectional Study
Published 2025-01-01“…Categorical data were described as absolute numbers and percentages. Differences in the use of antibiotics for specific health conditions were analyzed using Chi-Square, with <i>p</i> < 0.05. …”
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2018
Political Crisis in France: «Gilets Jaunes» and the End of the «First Period» of the Emmanuel Macron’s Governance
Published 2019-05-01“…Macron’s supporters enjoy an absolute majority in the Parliament without any meaningful opposition capable of opposing the president. …”
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2019
A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment
Published 2025-03-01“…In this research, the comparative assessment of RFMSDI is evaluated against the Standardized Precipitation Index (SPI) by analyzing Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) metrics across different time scales using various machine learning and traditional time series models. …”
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2020
Radiomics Features Based on MRI-ADC Maps of Patients with Breast Cancer: Relationship with Lesion Size, Features Stability, and Model Accuracy
Published 2022-09-01“…Feature selection was made with variance inflation factor (VIF, <10) and least absolute shrinkage and selection operator regression. …”
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