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…”
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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

“…The laser energy parameters were similar between the groups. Conclusion: Smaller WTW, larger flap diameter, lower ACD, and ACW are significant predisposing factors for gas bubble migration into the anterior chamber during FS-LASIK. …”
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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%. …”
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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. …”
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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. …”
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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). …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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A Method for Assessing the State of the Snow and Ice Cover by the Brewster Angle by V. G. Mashkov, V. A. Malyshev, P. A. Fedyunin

“…The depth resolution when using an ultra-wideband LFM signal with a frequency from 2 to 8 GHz is about 4 cm. The methodological error in determining the dielectric permittivity of layers by the Brewster angle comprises not more than 3 %.Conclusion. …”
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An automated A-value measurement tool for accurate cochlear duct length estimation by John E. Iyaniwura, Mai Elfarnawany, Hanif M. Ladak, Sumit K. Agrawal

“…Manual measurement of the A-value on clinical CT had a mean error of 9.5 ± 4.3% compared to micro-CT, and this improved to an error of 2.7 ± 2.1% using the automated algorithm. …”
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Printing outsourced orthognathic surgical splints in-house: a dimensional verification process for point-of-care printing by Talal Beidas, Luther Light, Caroline Carrico, Shayne Kondor, Prasanth Ravi, Yotom A. Rabinowitz

“…Accounting for this error, the 3D-printed splints exhibited an average RMS of 0.20 mm for both the Formlabs 3B + and the Phrozen 4 K. …”
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Comparison of macular retinal thickness measurements using spectral-domain and swept-source optical coherence tomography in healthy eyes by Huan Wan, Zhaode Wu, Ziling Liu, Bo Qin

“…Bland–Altman analysis found only 8.33% of SD-OCT and SS-OCT measurements within the 7 μm error range, compared to 81.25–83.33% for SS-OCT devices.ConclusionThe measurements of macular retinal thickness using SD-OCT and SS-OCT devices showed poor consistency and cannot be used interchangeably. …”
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Evaluation of cognitive and psychomotor faculties in relation to mood-related symptoms under the conditions of sleep deprivation by Marcin Sochal, Marta Ditmer, Piotr Białasiewicz, Szymon Turkiewicz, Filip Franciszek Karuga, Agata Gabryelska

“…A positive correlation was observed between the difference in PSG morning/DS morning depression severity and vigilance (R = 0.37, p = 0.001, R = 0.33, p = 0.005, for error duration eye-hand coordination test and PVT total average score, respectively).ConclusionRE tend to maintain or improve cognitive function after DS, oppositely to NR. …”
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Automated generation of discharge summaries: leveraging large language models with clinical data by Matthias Ganzinger, Nicola Kunz, Pascal Fuchs, Cornelia K. Lyu, Martin Loos, Martin Dugas, Thomas M. Pausch

“…Key results include an error rate of 2.84 mistakes per summary, and low-to-moderate alignment between generated and physician-written summaries (ROUGE-1: 0.25, BERTScore: 0.64). …”
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