Application of Artificial Intelligence Techniques for the Estimation of Basal Insulin in Patients with Type I Diabetes by Guillermo Edinson Guzman Gómez, Luis Eduardo Burbano Agredo, Veline Martínez, Oscar Fernando Bedoya Leiva

“…We then evaluated the agreement between predicted and actual values using several statistical error measurements: mean absolute error (MAE), mean square error (MSE), root-mean-square error (RMSE), Pearson’s correlation coefficient (R), and determination coefficient (R2). …”
Get full text

Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease by Erik Elgaard Sørensen, John Hansen, Charlotte Brun Thorup, Mette Grønkjær, Jan Jesper Andreasen, Birthe Irene Dinesen

“…Thus, none of the 24-hour tests had less than the expected 20% error. In time periods of evident walking during the 24 h test, the Zip had an average per cent relative error of <3% at 3.6 km/hour and higher speeds.Conclusions A speed of 3.6 km/hour or higher is required to expect acceptable accuracy in step measurement using a Zip, on a treadmill and in real life. …”
Get full text

ESTIMATION OF THE STANDARD GROWTH REGION OF NATIVE TURKEYS (Meleagris gallopavo L.) CALCULATED USING THE RICHARDS EQUATION by Marco Antonio Camacho-Escobar, Sergio Machorro-Sámano, Serafín Jacobo López-Garrido, Narciso Ysac Ávila-Serrano, Mónica Marcela Galicia-Jiménez, Jorge Alberto Cruz-Torres, Eliud Flores-Morales

“…Determination coefficient of 0.993, standard error of the estimate of 190.5 g, and maximum growth rate of 322.11 g*week-1 at 18.22 weeks of age were obtained. …”
Get full text

Accuracy and precision of sonographic fetal weight estimation in Sweden by Linda Lindström, Sven Cnattingius, Ove Axelsson, Michaela Granfors

“…Bland–Altman analysis, systematic error (mean percentage error), random error (standard deviation [SD] of mean percentage error), proportion of weight estimates within ±10% of birthweight, and proportion with underestimated and overestimated weight was calculated. …”
Get full text

Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study by Wei Wu, Zheng-gang Fang, Shu-qin Yang, Cai-xia Lv, Shu-yi An

“…A comparison between the autoregressive integrated moving average (ARIMA) model and the eXtreme Gradient Boosting (XGBoost) model was conducted to determine which was more accurate for anticipating the occurrence of COVID-19 in the USA.Design Time-series study.Setting The USA was the setting for this study.Main outcome measures Three accuracy metrics, mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE), were applied to evaluate the performance of the two models.Results In our study, for the training set and the validation set, the MAE, RMSE and MAPE of the XGBoost model were less than those of the ARIMA model.Conclusions The XGBoost model can help improve prediction of COVID-19 cases in the USA over the ARIMA model.…”
Get full text

GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…Additionally, two self-supervised tasks are designed for improved model accuracy and robustness. (3) Results: The fine-tuned model had comparatively optimal performance metrics with significant reductions in Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). (4) Conclusions: Ultimately, the integration of this model into travel time prediction, based on two large-scale real-world trajectory datasets, demonstrates enhanced performance and computational efficiency.…”
Get full text

A finite volume approximations for one nonlinear and nonlocal integrodifferential equations by Jaouad El Kasmy, Anas Rachid, Mohamed Laaraj

“…Lastly, numerical experiments are provided to support the theoretical conclusions.…”
Get full text

Prediction of absolute bioavailability of medicines in children: based on predicted pediatric clearance from adults by Iftekhar Mahmood

“…The predicted absolute bioavailability by the proposed method was within 0.5–1.5-fold prediction error for 93% observations. Conclusions: This study indicated that it was possible to estimate absolute bioavailability of medicines in children with acceptable accuracy (within 0.5–1.5-fold prediction error) by the proposed method. …”
Get full text

Prediction of properties of electroless nickel plating with diamond powder based on artificial neural network by Lili FANG, Han LIU, Yufei JIANG

“…In predicting the performance of electroless nickel plating on diamond micro powders, the predictive performance of GRNN is superior to that of BP neural network.ConclusionsThe prediction error values of BP neural network and GRNN for the chemical plating performance of diamond micropowder are both less than 10.00%, which proves that they can be used to predict the relevant results and reduce the number of experiments to obtain optimal process parameters. …”
Get full text

Radioactivity and Space Range of Ultra-Low-Activity for in vivo Off-line PET Verification of Proton and Carbon Ion Beam—A Phantom Study by Fuquan Zhang, Fuquan Zhang, Fuquan Zhang, Fuquan Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Yan Lu, Yixiangzi Sheng, Yun Sun, Jiangang Zhang, Jingyi Cheng, Jingyi Cheng, Jingyi Cheng, Rong Zhou

“…When radioactivity of ULA was >30 Bq/mL, the space range error was below 4 mm.Conclusions: Off-line PET can be used to quantify the radioactivity of proton and heavy ion beam when the ULA exceeds 148 Bq/mL, both in radioactivity and in space range.…”
Get full text

Reliability of trachoma clinical grading--assessing grading of marginal cases. by Salman A Rahman, Sun N Yu, Abdou Amza, Sintayehu Gebreselassie, Boubacar Kadri, Nassirou Baido, Nicole E Stoller, Joseph P Sheehan, Travis C Porco, Bruce D Gaynor, Jeremy D Keenan, Thomas M Lietman

“…<h4>Conclusions</h4>The kappa statistic is widely used for certifying trachoma field graders. …”
Get full text

Comparative analysis of machine learning algorithms for predicting tibial intramedullary nail length from patient characteristics by Yujian Hui, Hengda Hu, Jinghua Xiang, Xingye Du

“…Models were trained and evaluated using root mean squared error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and correlation analysis. …”
Get full text

Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning by Meiyan Zhao, Yuhu Zhang, Tao Hu, Peng Wang

“…The performance of interval prediction methods is evaluated by the prediction interval coverage probability (PICP), prediction interval normalized average width (PINAW), and coverage width criteria (CWC). The following conclusions are drawn from this study. First, the V-SVR model performs best with the lowest mean absolute error (MAE) of 0.016 and mean relative error (MRE) of 0.001. …”
Get full text

Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The results show a reduction in Absolute Trajectory Error from 0.62 meters to 0.25 meters, and a decrease in Root Mean Square Error from 0.85 meters to 0.39 meters. …”
Get full text

Age estimation using dental radiography in the Brazilian population: a systematic review and meta-analysis by Allan Abuabara, Livia Azeredo Alves Antunes, Leonardo Santos Antunes, Kaliane Rodrigues da Cruz, Thais Vilalba Paniagua Machado do Nascimento, Paulo Henrique Condeixa França, Erika Calvano Küchler, Cristiano Miranda de Araujo, Flares Baratto-Filho

“…For males, the mean error ranged from 0.2 to 1.75 years. For females, the mean error ranged from 0.01 to 1.27 years. …”
Get full text

Parameter identification of unmanned surface vehicle MMG model based on an improved extended Kalman filter by Pengbo SUN, Zaopeng DONG, Wei LIU, Jinliang SHENG, Zhihao LI

“…Specifically, the root mean squared error index is reduced by up to 20.02% at the highest, and the symmetric mean absolute percentage error index is reduced by 26.84% at the highest. …”
Get full text

Assessing Stereo Camera Applicability for Digital Monitoring of Cattle Exterior by S. S. Yurochka, D. Yu. Pavkin, A. R. Khakimov, P. S. Berdyugin, S. O. Bazaev

“…(Conclusions) The study confirmed that the number of stereo pairs does not impact accuracy, and the observed error represents the accuracy limit for these stereo pairs in stereo vision applications.…”
Get full text

Intraoral stereoradiography visualization with virtual reality: peri-implant bone level estimation accuracy – An in vitro study by Jorge Ferreira da Costa, João Caramês, Daniel Hachmeister

“…Observers reported viewing discomfort at angles above 6º. Conclusions: Stereoradiography significantly reduced the error in bone height estimation, with any stereoscopic angle, compared to 2D. …”
Get full text

DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Descriptive statistics, error rates, and correlation analyses were performed using R software (version 4.1.2). …”
Get full text

Influence of Structural Parameters of Shape Memory Alloy Corrugated Gaskets on the Contact Pressure of Bolted Flange Joints by Liang He, Xiaofeng Lu, Xiaolei Zhu, Qing Chen

“…Through comparison with the experimental results, the maximum error of the maximum compression load was 5.78%, the maximum error of the rebound rate was 8.85%, and the maximum error of the maximum compaction force in the heat recovery stage was 12.2%, all of which were within the <15% acceptable error range of engineering fields. …”
Get full text