Comparison of the effects of three time series models in predicting the trend of erythrocyte blood demand by QIU Yajuan, ZHANG Jianping, LUO Jia, LI Peilin, LUO Mengzhuo, LI Qiongying, LIU Ge, LEI Qing, LIAO Kai

“…The extrapolation prediction accuracy of the models were tested using two evaluation indicators: mean absolute percentage error (MAPE) and root mean square error (RMSE), and then the prediction performance of the model was compared. …”
Get full text

Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…Using some parameters, it is possible that the error rate can be even reduced below 0.5%.…”
Get full text

Specific Mass Growth Rate of Sugar Crystals: Probabilistic Modeling by Denis V. Arapov, Vladimir A. Kuritsyn, Sergey M. Petrov, Nadezda M. Podgornova, Mariya A. Zaitseva

“…The proximity of crystals was calculated according to the dependence of the growth rate on their concentration and the average size (error: ± 1.3%). The adjustment range: concentration of crystals = 5–60%, average size = 0.25–1.50 mm. …”
Get full text

Comparison of Wear between Nylon-bristled Toothbrushes and Bamboo Toothbrushes with Plant-based Bio-bristles after Toothbrushing in Children between 8 and 11 Years of Age: An <i>Ex... by Somya Goel, Tanvi Saraf, Kirti Buva

“…Results: The WI of nylon bristles was −0.0120 ± 0.0986, with a standard error of the mean of 0.0311. For bamboo bristles, the mean was 0.1001 ± 0.0920, with a standard error of the mean of 0.0291. …”
Get full text

Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…The accuracy of the artificial neural network (1.67%) was defined as the mean relative error. The error of the regression model was also low (2.85%). …”
Get full text

Digital biomarkers for psoriatic arthritis: a qualitative focus group study on patient-perceived opportunities and barriers by Ilja Tchetverikov, Marijn Vis, Marc R. Kok, Jolanda J. Luime, Yvonne P.M. Goekoop-Ruiterman, Wendy Wagenaar, Laura C. Coates, Patty de Groot, Jasper Foolen

“…Reducing the time of trial and error in learning to manage the disease is regarded beneficial. …”
Get full text

Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“…Currently there are no cheap and easy to use clinical tools to measure humeral torsion, inhibiting clinical assessment. Models with low error and "good" calibration slope may be helpful for prediction…”
Get full text

To study the anatomic and intraoperative factors responsible for gas bubble migration in the anterior chamber during femtosecond laser-assisted in situ keratomileusis (FS-LASIK) fl... by Suman Lata, Sohini Mandal, Rajesh Sinha, Jeewan S. Titiyal

“…Various preoperative and intraoperative parameters were compared between the groups, including refractive error, keratometry, white-to-white (WTW) distance, angle parameters, anterior chamber depth (ACD), central corneal thickness, flap diameter, pulse energy, suction time, anterior chamber width (ACW), angle opening distance (AOD) 500 and AOD 750, trabecular iris space area (TISA) 500, TISA 750, trabecular iris area (TIA) 500, TIA 750, and anterior chamber width (ACW) using CASIA anterior segment optical coherence tomography (ASOCT), to find the correlation between angle anatomy and migration of gas bubble in AC. …”
Get full text

Enhanced Dung Beetle Optimizer-Optimized KELM for Pile Bearing Capacity Prediction by Bohang Chen, Mingwei Hai, Gaojian Di, Bin Zhou, Qi Zhang, Miao Wang, Yanxiu Guo

“…The IDBO algorithm was then utilized to optimize the hyperparameters of the KELM model for predicting pile bearing capacity. In conclusion, the statistical metrics for the IDBO-KELM model demonstrated a root mean square error (RMSE) of 4.7875, a coefficient of determination (R²) of 0.9313, and a mean absolute percentage error (MAPE) of 10.71%. …”
Get full text

Complex modulation of fingertip forces during precision grasp and lift after theta burst stimulation over the dorsal premotor cortex by Drljačić Dragana, Pajić Sanja, Nedeljković Aleksandar, Milanović Slađan D., Ilić Tihomir V.

“…On the contrary, the cTBS reduced variable error (VE) for non-dominant hand (NH), p = 0.005. …”
Get full text

Ophthalmoergonomic Test “Glazomer”: Clinical Standardization, Application Prospects by I. G. Ovechkin, D. F. Pokrovsky, N. I. Ovechkin, D. A. Shavshina, Yu. Yu. Kislyakov

“…Based on the study results, two parameters were calculated to assess the accuracy of the eye: the average value of the positioning error — the deviation from the test object center (VOC, mm) and the standard deviation of the error — the spread value (SV, mm).Results. …”
Get full text

Accuracy of Fetal Weight Estimation by Ultrasonographic Evaluation in a Northeastern Region of India by Ranjumoni Konwar, Bharati Basumatary, Malamoni Dutta, Putul Mahanta

“…The accuracy of the two procedures was evaluated using mean absolute error (MAE) and mean absolute percentage error (MAPE). …”
Get full text

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

“…RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …”
Get full text

Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

“…Additionally, the RF model exhibited the lowest error values, indicating its superior precision compared with other regression models. …”
Get full text

Development and validation of Mental Health Literacy Assessment Scale among community health workers in Nepal by Shishir Paudel, Anisha Chalise, Prashabdhi Shakya, Tulsi Ram Bhandari

“…Confirmatory factor analysis was employed to validate the model, using root mean square error of approximation < 0.05, standardized root mean square residual < 0.08, comparative fit index ⩾ 0.90, and Tucker–Lewis index ⩾ 0.90. …”
Get full text

Effect of Residual Stromal Bed and Postoperative Dry Eye on Quality of Life after FS-LASIK and SMILE by Budiman B, Juanarta P, Sirait SN

“…Patients were asked to fill out the National Eye Institute Refractive Error Quality of Life (NEI-RQL) 42 questionnaire, and an integrated dry eye assessment (IDRA) ocular surface analyzer examination was conducted at the Aesthetic and Dry Eye clinic.Results: Significant differences in characteristics were found, with greater refractive error in the thinner RSB group. …”
Get full text

The accuracy of forecasted hospital admission for respiratory tract infections in children aged 0–5 years for 2017/2023 by Fredrik Methi, Karin Magnusson, Karin Magnusson

“…We compared the observed vs. forecasted numbers of RTIs between October 31st, 2021, and May 31st, 2023, using metrics such as mean absolute error (MAE), mean absolute percentage error (MAPE) and dynamic time warping (DTW).ResultsIn our most accurate prediction, we assumed that the proportion of children who remained uninfected and non-hospitalized during the lockdown would be prone to hospitalization in the subsequent season, resulting in increased numbers when lockdown measures were eased. …”
Get full text

Color memory as a diagnostic test for mild cognitive impairment and early stage of Alzheimer’s disease by Vaiva Sutnikiene, Egle Audronyte, Gyte Pakulaite-Kazliene, Gintaras Kaubrys

“…Adding the color memory total error score to the model improved accuracy to 84.4% (100% of CG, 76% of MCI, and 77.8% of MD cases).ConclusionColor recognition memory test results differed significantly between participants with normal cognition and those with MCI and early AD. …”
Get full text

Predictive Value of Direct Disk Diffusion Testing from Positive Blood Cultures for Detection of Antimicrobial Nonsusceptibility by Tammy Ting-Yan Wong, Chung-Ho Lee, Hester Wing-Sum Luk, Cindy Wing-Sze Tse, Pak-Leung Ho

“…The overall rates of major error and very major error were very low, at 0.2% and 0.04%, respectively, and ranged from 0% to 1.5% and 0% to 0.04%, respectively, across organism groups. …”
Get full text

Application of Special Calculation Techniques in the Design of All-Welded Gastight Structures of Boiler Units by M. P. Kurepin, M. Yu. Serbinovskiy

“…For specially reinforced membrane walls with steps exceeding the permissible values, the error reduction reached 70% or higher.Discussion and Conclusion. …”
Get full text