A Continuous Music Recommendation Method Considering Emotional Change by Se In Baek, Yong Kyu Lee

“…To prove the effectiveness of the proposed method, the accuracy of the music emotion analysis, user emotion prediction, and music recommendation results were evaluated. …”
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A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand by Chawarat Rotejanaprasert, Kawin Chinpong, Andrew B. Lawson, Richard J. Maude

“…A simulation study explored diverse disease scenarios, characterized by varying magnitudes and spatial-temporal patterns, while real data analysis utilized monthly national dengue surveillance data from 2018 to 2020. Evaluation metrics included accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. …”
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Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations by Fabiano Stingelin Cardoso, Tacildo de Souza Araújo, Ronnier Frates Rohrich, André Schneider de Oliveira

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Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall... by Zhang L, Li T, Zhang P, Li C

“…Univariate/multivariate logistic regression and ROC curves were used to identify risk factors and evaluate predictive performance.Results: The rupture group had higher rates of advanced maternal age, prenatal BMI ≥ 30 kg/m², multiparity, single-layer cesarean suturing, and shorter inter-pregnancy intervals (all P< 0.05). …”
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An Adaptive Un-Sharp Masking Method for Contrast Enhancement in Images with Non-uniform Blur by Zahra Mortezaie, Hamid Hassanpour, Sekine Asadi Amiri

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Evaluating feature selection methods in a hybrid Weibull Freund-Cox proportional hazards model for renal cell carcinoma by Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Arshad Hameed Hasan

“…The purpose is to determine which genes are dominant in RCC and evaluate the degree of efficiency of each method. Lasso, which performs rigorous selection for features, obtained quite a small set of genes, and the advantage was made in the simplicity and interpretability of the classifier. …”
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On the analytical aspects of diagnosis of the crisis state enterprises-participants of foreign economic activity by T. V. Shmulevich, Yu. V. Kuzminykh

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UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines* by Qianrong Guo, Saiveth Hernandez-Hernandez, Pedro J. Ballester

“…It offers a new evaluation framework to benchmark AI models under more realistic conditions, fostering progress in molecular property prediction. …”
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Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis by Anantha Narayanan, Scott Duncan, Conal Smith, Flora Le, Lisa Mackay, Julia McPhee, Basile Chaix, Tom Stewart

“…We investigated these associations by reallocating time among behaviours and assessing the predicted impact on wellbeing outcomes. Methods Time-use behaviours were obtained from 211 adults who wore Axivity AX3 accelerometers on their wrists for seven days. …”
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Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren... by Konstantina D. Kourou, Vasileios C. Pezoulas, Eleni I. Georga, Themis Exarchos, Costas Papaloukas, Michalis Voulgarelis, Andreas Goules, Andrianos Nezos, Athanasios G. Tzioufas, Earalampos M. Moutsopoulos, Clio Mavragani, Dimitrios I. Fotiadis

“…<italic>Methods:</italic> The potential predicting role of both genetic variants, clinical and laboratory risk factors were investigated through a Machine Learning-based (ML) framework which encapsulates ensemble classifiers. …”
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I.S.G.E.: An Integrated Spatial Geotechnical and Geophysical Evaluation Methodology for Subsurface Investigations by Christos Orfanos, Konstantinos Leontarakis, George Apostolopoulos, Ioannis E. Zevgolis, Bojan Brodic

“…A new Integrated Spatial Geophysical and Geotechnical Evaluation (I.S.G.E) methodology has been developed to estimate the spatial distribution of geotechnical parameters using high-resolution geophysical methods. …”
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Efficacy of Using a Vessel Dilator during Surgery to Evaluate Vein Diameter and Predict Radiocephalic Arteriovenous Fistula Maturation and Patency by Kanako Takai, Takehisa Nojima, Hidehiko Taguchi, Kosei Hasegawa, Takashi Yamauchi

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Probabilistic evaluation of combination rules for seismic response prediction of horizontally curved RC bridges under varying earthquake incidence angles by Payam Tehrani, Khashayar Heydarpour

“…Abstract This study presents a comprehensive probabilistic evaluation of seismic response prediction methods for horizontally curved reinforced concrete (RC) bridges under bidirectional earthquake excitations with varying incident angles. …”
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Evaluation of the Aspartate Aminotransferase to Platelet Ratio Index for Predicting In-Hospital Mortality in Cardiogenic Shock Patients Admitted to the Intensive Care Unit by Min Yang, Dandan Liu, Yu Liu

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Precision medicine in rheumatoid arthritis: Evaluation of a new approach to predict clinical response to methotrexate in patients with early rheumatoid arthritis. by Alejandro Escudero, Mercedes Alperi, Ana Isabel Turrion, Rosario Lopez, Tatiana Yebra, Gema Cordero, Teresa Diez, Isabel Portero, Francisco J Blanco

“…<h4>Methods</h4>This prospective 6-month study was conducted on 31 RA patients starting MTX treatment. …”
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Evaluation of the SAMe-TT2R2 score to predict the quality of anticoagulation control in patients after mitral valve replacement by Yilin Li, Yang Gao, Qiuming Hu, Xu Meng, Shubin Li

“…BackgroundThis study aimed to evaluate the role of the SAMe-TT2R2 score in the prediction of anticoagulation control after mechanical mitral valve replacement.Methods and resultsWe retrospectively reviewed clinical data of 160 patients who received mechanical mitral valve replacement at Beijing Anzhen Hospital from January to December 2013. …”
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The Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study by Corinne G Allaart, Sanne van Houwelingen, Pieter HE Hilkens, Aart van Halteren, Douwe H Biesma, Lea Dijksman, Paul B van der Nat

“…MethodsWe designed a mock-up version, including visualizations, based on our recently developed prediction model. …”
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Postimplementation Evaluation in Assisted Living Facilities of an eHealth Medical Device Developed to Predict and Avoid Unplanned Hospitalizations: Pragmatic Trial by Jacques-Henri Veyron, François Deparis, Marie Noel Al Zayat, Joël Belmin, Charlotte Havreng-Théry

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Clinical prognosis evaluation of alpha-fetoprotein-positive gastric cancer: comprehensive analysis and development of a novel nomogram for survival prediction by Fei Zuo, Yunyan Tan, Wenjun Mao, Zhaoqing Tang, Tianping Luo

“…BackgroundAlpha-fetoprotein (AFP) is an established biomarker for liver cancer, but its role in gastric cancer (GC) remains unclear. This study evaluated AFP’s prognostic value in GC and developed a survival prediction model incorporating AFP and other clinical factors.MethodsWe analyzed 766 GC patients from Changzhou Traditional Chinese Medicine Hospital, categorizing them as AFP-positive (&gt;20 ng/mL) or AFP-negative (≤20 ng/mL). …”
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