The geographic identification of elevated suicide risk model: evaluating a method for examining suicide-related behaviors at the neighborhood level in Harris County, Texas by Ryan M. Hill, Sam C. Cacace, Austin Starkey, Tyler Hendley, Jackson Bolner, Angela Cummings, Angie Hayes, Robert J. Cramer

“…Of 48,928 records with completed screens and patient address data listed in the electronic health record, 44,776 addresses (91.5%) were matched to U.S. census tracts via the Census Geocoder database. When evaluating criterion validity, the simultaneous multivariate logistic regression revealed that the model did not fit well to the data, and suicide attempts and suicidal ideation only predicted 0.02% of the variance in the probability of suicide fatality. …”
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Evaluating the Performance of Variants of the Lee-Carter Method for Mortality Forecasting in the Population Projection of the Czech Republic from the Czech Statistical Office 2023–... by David Morávek

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A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications by Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, Paromita Roy, Pronay Dey, Nafisa Atia Salsabil, Nahid-Ur-Rahman Chowdhury, Omar Farrok

“…Emphasis is placed on methodologies for predicting renewable energy availability, electricity pricing, and load demand, with an in-depth evaluation of their modeling frameworks and predictive accuracies. …”
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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine L... by Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

“…ObjectiveThis study was designed to use machine learning methods to determine demographic and clinical characteristics of patients with advanced or metastatic non–small cell lung cancer (NSCLC) that may predict likelihood of receiving NGS-based testing (ever vs never NGS-tested) as well as likelihood of timing of testing (early vs late NGS-tested). …”
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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

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A LIFE EVALUATION METHED FOR FRONT AXLE BASED ON FRONT AXLE DYNAMICS MODEL by FENG Jinzhi, SANG Wuzhuang, ZHANG Dongdong, LI Liangliang, LIU Xinrong, ZHAO Lihui

“…The life of the front axle, the failure sequence of risk points and the damage contribution ratio of various road conditions to dangerous points are obtained and in good agreement with the reference results, which verified the effectiveness of the proposed method and provided reference for the drive signal construction and component life evaluation of system-level bench durability test. …”
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Evaluation of miniscrew-assisted maxillary expansion in the treatment of unilateral maxillary constriction: A finite element study by Shravan Shetty, Phad Sharad Trimbakrao, Utkarsh Mangal, Suraj Patil, Shah Mohammed Abdul Khader, MV Ashith, Satish Shenoy

“…The stress, displacement, and distribution predictions for all three types of expanders were subsequently evaluated via FEM. …”
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Development and temporal evaluation of sex-specific models to predict 4-year atherosclerotic cardiovascular disease risk based on age and neighbourhood characteristics in South Lim... by Anke Bruninx, Lianne Ippel, Rob Willems, Andre Dekker, Iñigo Bermejo

“…Methods We included 40- to 70-year-olds living in South Limburg on 1 January 2015 for model development, and 40- to 70-year-olds living in South Limburg on 1 January 2016 for model evaluation. …”
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Construction and evaluation of a nomogram risk prediction model for post-hepatectomy liver failure in hepatocellular carcinoma patients with hepatitis B infection at low viral load by HAN Yan, LI Yujie, YI Bin

“…Conclusion‍　‍Our model can effectively evaluate the risk of PHLF in HCC patients with HBV infection at low viral load, and shows good predictive performance, which has certain guiding significance for timely identification of high-risk populations. …”
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Comprehensive evaluation of the prediction of fetal growth restriction using the ratio of fetal cerebellar transverse diameter to abdominal circumference combined with uterine arte... by Weiying Tang, Pingping Wu, Yanyan Zheng, Baobao Yang

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Evaluating the potential of waist-to-BMI ratio, a body shape index, and other anthropometric parameters in predicting cardiovascular disease mortality: evidence from NHANES III by Thung-Lip Lee, Fang-Ju Lin, Chih-Fan Yeh, Yu-Chung Hsiao, Kai-Chien Yang, Chin-Feng Hsuan, Chau-Chung Wu

“…Abstract Background Anthropometric measures can be obtained easily and quickly and have the potential for prognostic stratification in the context of cardiovascular disease (CVD). This study evaluates the prognostic value of the waist-to-BMI ratio, a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) for CVD mortality prediction in the general population, compared with the Framingham risk score (FRS). …”
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Prediction of spontaneous supratentorial intracerebral hemorrhage acute period outcome on the basis of a complex clinical and neuroimaging investigation and the evaluation of the s... by A. A. Kuznietsov

“…Binary logistic regression method and ROC-analysis were used for the elaboration of prediction criteria. …”
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Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

“…Tedam University of Technology and Applied Sciences (β = 3.85, p = 0.021), likely due to better alignment between their curriculum and instructional methods. These findings offer actionable insights for curriculum development and healthcare policy planning in resource-constrained settings, advocating for the integration of machine learning tools into academic evaluations. …”
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Construct a nomogram prediction and evaluation of influencing factors of adverse pregnancy outcomes in GDM patients based on plasma miR-144-3p levels by Sanqiang Niu, Sanqiang Niu, Pengwen Wu, Bing Li, Huaili Xin, Huaili Xin, Kangjun Yu, Kangjun Yu, Ningning Du

“…ObjectiveTo examine the expression levels of miR-144-3p in the plasma of patients with gestational diabetes mellitus (GDM) and to construct a nomogram for predicting and evaluating factors influencing adverse pregnancy outcomes (APO) in GDM based on plasma miR-144-3p levels.MethodsThis study included 442 pregnant women, comprising 216 diagnosed with GDM (GDM group) and 226 with normal glucose tolerance (NGT group). …”
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Heart Rate Variability Analysis in Congestive Heart Failure: The Need for Standardized Assessment Protocols by Monika Míková, David Pospíšil, Jan Řehoř, Marek Malik

“…HRV does not provide a clinically useful prediction of sudden cardiac death or other cardiac events in CHF patients. …”
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Met... by Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, Schontal Halstead, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael Kolios, Gregory J. Czarnota

“…Materials and Methods: A total of 851 textural biomarkers were determined from CT images and their wavelet coefficients for 117 patients with LABC to evaluate the response to NAC. …”
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Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

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Identification Methods of Tumor Tissue Origin Based on Different STR Typing Kits by WU Li-ming, CHEN An-qi, ZHANG Su-hua, LI Cheng-tao

“…ObjectiveTo establish the identification method of tumor tissue origin based on commonly used STR typing kits.MethodsForenSeqTM DNA Signature Prep kit was used to detect the typing of 27 autosomal STR loci in 55 paired tumor tissue samples （tumor tissue paired with normal tissue of the same individual） and 75 unrelated individual whole blood samples. …”
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Evaluation of performance and statistical analysis of rigid pavement incorporating recycled aggregate concrete through the BBD methodology by Karuppasamy S, Ganapathi Malarvizhi

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Artificial intelligence for determining learning strategies in university students by Ángel Ramón Sabando-García, Cynthia Michel Olguín-Martínez, Raul Marcelo Benavides-Lara, Teresa Irina Salazar-Echeagaray, Eduardo Alfonso Huerta-Mora, Bibian Bibeca Bumbila-García, Lizandro Agustín Cedeño-Barcia, Jenniffer Sobeida Moreira-Choez

“…In this context, the objective of this study was to determine the learning strategies of students at the Pontifical Catholic University of Ecuador, Santo Domingo campus (PUCESD) using artificial intelligence.MethodsThe research followed a quantitative, correlational, and predictive approach, with a probabilistic sample of 162 students aged 17–24, of whom 29% were male and 71% female, from public, private religious, private secular, and semi-private institutions. …”
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