Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…Results The neural network model outperformed traditional interpolation techniques, achieving a 47% reduction in Root Mean Square Error (RMSE), and a 0.56 increase in R2 compared to the best-performing IDW variant (RS-IDW). …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…The proportion of cases misclassified by any of the six models decreased by 47% after incorporating process features (from 5.29% to 2.91%) and further decreased to 0.0% after applying the QCA solutions. Conclusion The integrated approach demonstrates its ability to enhance quality of a classification task through its clinical relevance, improved model performance, and reduced case-level error rates. …”
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Turkish validity and reliability study of the simulation self-report cognitive load measurement tool 2.0 by Hilal Yıldız Çelik, Esra Uğur

“…The Cronbach’s alpha for the tool was 0.822. Conclusion The analysis provided evidence supporting the validity and reliability of the Turkish-adapted version of the tool for use with a Turkish sample. …”
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Establishment of nomogram prediction model for patients with chronic obstructive pulmonary disease based on Lasso feature screening by Shuyi Zhang, Jiaojiao Sha, Tao Jiang, Zhou Lu, Yulin Shi, Jiatuo Xu

“…The calibration curve indicated that nomogram models showed reasonable consistency, and the Mean Absolute Error (MAE) values were 0.026 and 0.028, respectively. …”
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High Myopia: A Hospital-Based Study of The Clinical Profile and Visual Impairment by Rejitha Chinnu Varghese, Uma Kulkarni

“…Introduction: High axial myopia is an increasingly common refractive error leading to retinal degeneration and visual impairment. …”
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Evaluación de estimadores no paramétricos de la riqueza de especies. Un ejemplo con aves en áreas verdes de la ciudad de Puebla, México by J. A. González-Oreja, A. A. De la Fuente-Díaz-Ordaz, L. Hernández-Santín, D. Buzo-Franco, C. Bonache-Regidor

“…En conclusión, proponemos que el estimador no paramétrico Jackknife 1 puede usarse como un límite inferior de la riqueza de especies de aves en áreas urbanas similares a las de nuestro estudio.…”
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Incidence of complications after laparoscopic and hysteroscopic surgeries for uterine myomas by N. K. Alizade

“…The compared groups also differed in the location of their myomas.Conclusion. The risk of postoperative complications after laparoscopic surgery is relatively high if simultaneous operations take place, if the number of fibroids is ³ 4, and in the presence of anemia or menstruation disorder.…”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…This study aimed to systematically evaluate and compare the performance of traditional statistical methods and machine learning approaches within the hdPS framework, focusing on key metrics such as bias, standard error (SE), and coverage, under various exposure and outcome prevalence scenarios.…”
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La importancia del uso del material didáctico para la construcción de aprendizajes significativos en la educación inicial by Zila Isabel Esteves, Norma Garcés Garcés, Verónica Narcisa Toala Santana, Elizabeth Eunice Poveda Gurumendi

“…Es, por tanto, indispensable que se abran nuevos horizontes para acoger las pautas que nos brinda el sistema escolar sin miedo a errores o equivocaciones. El trabajo realizado, a través de la investigación de campo, llegó a la conclusión que más recursos didácticos significa tener más posibilidades de desarrollo. …”
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Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study by Kanika Godani, Vishma Prabhu, Priyanka Gandhi, Ayushi Choudhary, Shubham Darade, Rupal Kathare, Prathiba Hande, Ramesh Venkatesh

“…The RF regression model outperformed other ML models, achieving the lowest mean square error (MSE = 0.038) on internal validation. The most significant predictors of VA were postoperative MH closure status (variable importance = 43.078) and MH area index (21.328). …”
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The relationship between proteinuria and coronary risk: a systematic review and meta-analysis. by Vlado Perkovic, Christine Verdon, Toshiharu Ninomiya, Federica Barzi, Alan Cass, Anushka Patel, Meg Jardine, Martin Gallagher, Fiona Turnbull, John Chalmers, Jonathan Craig, Rachel Huxley

“…MEDLINE and EMBASE were searched for studies reporting an age- or multivariate-adjusted estimate and standard error of the association between proteinuria and coronary heart disease. …”
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Reliability, validity, and diagnostic accuracy of the apathy evaluation scale in chronic stroke survivors by Akram Jamali, Tourandokht Baluchnejadmojarad, Seyede Zohreh Jazaeri, Shiva Abedi, Hajar Mehdizadeh, Parvaneh Taghavi Azar Sharabiani, Ghorban Taghizadeh

“…Internal consistency (α = 0.88–0.91) and test-retest and inter-rater reliability (ICC2,1 >0.90) were acceptable for all AES versions. Standard Error of Measurement and Minimal Detectable Change values for test-retest and/or inter-rater reliability ranged 1.6–2.5 and 4.42–6.93 for three versions of AES, respectively. …”
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Maternal Outcomes after Induction of Labor with Dinoprostone in Post-Date pregnancies by Saleha Hassan, Aasma Zubair, Seema Gul, Sandleen Javad, Amika Kumari, Hina Javed

“…This was the descriptive cross-sectional study, in which the sample size was calculated on WHO formula by keeping proportion of postpartum hemorrhage 3.07%, confidence interval 95% and margin of error 2% as 286. All women by using consecutive sampling (non probability) were subjected to detailed clinical history and detailed physical and obstetrical examination (as per hospital protocol) to detect confounders to exclude bias from the study results. …”
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Comparative informative value of three blood pressure measurement methods in antihypertensive therapy effectiveness assessment by V. M. Gorbunov, R. G. Oganov, E. V. Platonova, A. D. Deev

“…Informative values for individual BP parameters were investigated with Mahalonobis distance and t-test ranging. Results. «Error» prevalence for dispersion of averaged 24-hour BPM data was 19-40%, averaged BPSC data – 7-22%. …”
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Plasmodium vivax malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Elvieda Sariwati, Niken W Palupi, Siti N Tarmizi, Rita Kusriastuti, J Kevin Baird, Simon I Hay

“…In general, prediction uncertainty was relatively low in the west and high in the east.<h4>Conclusion</h4>Most Indonesians living with endemic P. vivax experience relatively low risk of infection. …”
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External validation of the Tyrolean hip arthroplasty registry by Moritz Wagner, Sabrina Neururer, Dietmar Dammerer, Paul Nardelli, Gerhard Kaufmann, Matthias Braito, Alexander Brunner

“…The main reason for unrecorded revision cases and wrongly recoded implants was human error. Further digitalization with more automatic data submission may have the potential to reduce these failure rates in the future. …”
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Quality of Life, Pain, and Sexual Desire in the Elderly Over 65 Years of Age by Patricia Rocamora‐Pérez, Azahara de la Poza‐Rodríguez, María Jesús Benzo‐Iglesias, José Manuel Aguilar‐Parra, Rubén Trigueros‐Ramos, Remedios López‐Liria, María José Morales‐Gázquez

“…Conclusion By exploring these variables, this study seeks to contribute to the design of more inclusive and sensitive strategies that address the comprehensive and respectful needs of the elderly, thereby improving their quality of life.…”
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Screening for endometriosis: A scoping review of screening measures that could support early diagnosis by Brittany N. Rosenbloom, Tania Di Renna, Adriano Nella, Mathew Leonardi, Maggie Tiong, Seungmin Lee, Rachael Bosma

“…A majority of the included studies assessed very few measurement properties (e.g., measurement error, structural validity, construct validity or responsiveness, etc…) of the PROM, leaving their quality unknown. …”
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The influence of jittering DHS cluster locations on geostatistical model-based estimates of malaria risk in Cameroon by Salomon G. Massoda Tonye, Romain Wounang, Celestin Kouambeng, Penelope Vounatsou

“…Conclusion: In Cameroon, the malaria risk estimates obtained from the jittered data were comparable to the ones generated using the true locations; however, jittering modified our interpretation of the relationship between environmental predictors and malaria transmission.…”
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Detecting depression in patients with coronary heart disease: a diagnostic evaluation of the PHQ-9 and HADS-D in primary care, findings from the UPBEAT-UK study. by Mark Haddad, Paul Walters, Rachel Phillips, Jacqueline Tsakok, Paul Williams, Anthony Mann, André Tylee

“…Areas under the curves (AUC) (standard error) were 0.95 (0.01) and 0.88 (0.02) for the PHQ-9 and HADS-D, and 0.91 (0.02) for PHQ-9 using the categorical algorithm. …”
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