CFD-FEM Analysis for Functionality Prediction of Multi-Gear Pumps by Olga Zharkevich, Olga Reshetnikova, Tatyana Nikonova, Alexandra Berg, Andrey Berg, Darkhan Zhunuspekov, Oxana Nurzhanova

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Advancing student outcome predictions through generative adversarial networks by Helia Farhood, Ibrahim Joudah, Amin Beheshti, Samuel Muller

“…Employing Feedforward Neural Networks, Convolutional Neural Networks, and Gradient-boosted Neural Networks, and using Bayesian optimisation for hyperparameter tuning, this research methodically examines the impact of synthetic data on prediction accuracy. …”
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PREDICTIVE VALUE OF ERYTHROCYTE ANISOTROPY COEFFICIENT IN PATIENTS HOSPITALIZED FOR ACUTELY DECOMPENSATED CHRONIC HEART FAILURE by V. A. Kostenko, M. Yu. Sitnikova, Е. A. Skorodumova, Е. G. Skorodumova, A. N. Fedorov

“…Aim. To evaluate the role of erythrocyte anisotropy (RDW) coefficient as a predictor of adverse outcome in acutely decompensated chronic heart failure (ADCHF).Material and methods. …”
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Early Identification of Pediatric Inflammatory Bowel Disease Based on a Noninvasive Multivariable Predictive Model by Wu H, Sun Y, Tang Z, Qin X, Wang Y, Huang Y

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Predictive Factors of the Standard Cross-linking Outcomes in Adult Keratoconus: One-Year Follow-Up by Amani E. Badawi, Waleed Ali Abou Samra, Ayman Abd El ghafar

“…Postoperative best-corrected visual acuity (BCVA) and K max were considered the main predicted variables. The entire participants were divided into subgroups with cutoff values in accordance with the predictive variables. …”
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Predictive Analysis of Cardiovascular Disease Risk Factors in Romania using Machine Learning and Medical Statistics by Radu-Anton MOLDOVAN, Sebastian-Aurelian ŞTEFĂNIGĂ

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Predictive value of physical and blood examination findings for short-term mortality in dogs with respiratory disorders. by Muryo Miki, Keiichiro Mie, Hidetaka Nishida, Hideo Akiyoshi, Toshiyuki Tanaka

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Analysis of the influencing factors and predictive values for 30- day mortality in emergency severely ill patients by LIU Hongxin, WU Xiaojuan, MENG Jian

“…The receiver operating characteristic (ROC) curve was performed to evaluate the predictive value of SOFA score, APACHE II score, D-dimer and NLR on 30 d death in severely ill patients.Results 1 595 severely ill patients were included, with 1 359 in the survival group and 236 in the death group. …”
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Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling by K. Rajammal, M. Chinnadurai

“…The proposed SNN model identifies the short-term workload fluctuations and long-term trends whereas TGNN represents the cloud environment as a dynamic graph to predict future resource availability. Additionally, reinforcement learning is incorporated in the proposed work to optimize SNN decisions based on feedback from the TGNN’s state predictions. …”
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Integration of SimWeight and Markov Chain to Predict Land Use of Lavasanat Basin by M S. Mirakhorlo, M. Rahimzadegan

“…The Land-use map of year 2018 was predicted using the proposed method. To evaluate this map, a land-use map of 2018 was produced using classification of a Landsat-8 OLI image. …”
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Muscle strength: development of predictive equation for handgrip strength in older adults on the primary health care by Maria Luiza Amorim Sena Pereira, Marília Conceição de Souza Caceres, Marlus Henrique Queiroz Pereira, Carolina Cunha de Oliveira, Bruno Klécius Andrade Teles, Elizabete Regina Araújo de Oliveira

“…This study aimed to develop equations for predicting HGS in community-dwelling older adults in Primary Health Care (PHC). …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. …”
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LSTM-ANN-GA A HYBRID DEEP LEARNING MODEL FOR PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPEMENT by Farouk Noumich, Abouchabaka Jaafar, Amrani Ayoub

“…The results show that this model significantly outperforms traditional predictive maintenance methods, achieving high prediction accuracy.…”
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Technology-Integrated Formative Assessment and the Predictive Role of Motivational Constructs on Conceptual and Procedural Knowledge in Chemistry by Tadesse Hagos, Dereje Andargie

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TUMOR MARKERS СА 125 AND НЕ 4 AS PROGNOSTIC AND PREDICTIVE FACTORS IN BORDERLINE OVARIAN TUMORS by A. N. Vasilyev, S. E. Krasilnikov, V. Е. Voitsitsky, A. V. Gerasimov, A. P. Kulidzhanyan, Е. V. Babayants, V. G. Sisakyan, М. I. Krylyshkin, N. A. Afanasyeva, A. S. Mansurova

“…Materials and methods. Thirty patients with borderline ovarian tumors were retrospectively studied. …”
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Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling by Kaida Cai, Xiaofang Yang, Zhengyan Wang, Wenzhi Fu, Hanwen Liu, Fatemeh Mahmoudi

“…This study evaluates the predictive performance of the Cox proportional hazards model and advanced machine learning techniques, such as extreme gradient boosting (XGBoost), gradient boosting machine (GBM), and random survival forests (RSF), in forecasting survival outcomes for sepsis patients. …”
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Construction and validation of a predictive model for lymph node metastasis in patients with papillary thyroid carcinoma by Yanhong Hao, Yanjing Zhang, Yuan Su, Liping Liu

“…ObjectiveTo study the occurrence of lymph node metastasis in patients with papillary thyroid carcinoma (PTC) and construct a predictive model to assess its predictive performance.MethodsWe retrospectively analyzed the data of 432 patients with PTC. …”
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The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model by Shenping Liu, Zhi Wei, Huiqing Ding

“…Conclusion This study underscores the critical role of SOX2 in orchestrating the ferroptosis pathway in cervical cancer and presents a novel prognostic framework. The SOX2-centric predictive model represents a significant advancement in prognosis evaluation, offering a gateway to personalized treatment for gynaecologic cancers.…”
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Predictive Value of <i>STC2</i> Gene Expression in Chemotherapy Response in Breast Cancer by Juan P. Muñoz, Nicolás Lampe-Huenul

“…Despite its critical role in cellular adaptation to stress, the potential of <i>STC2</i> as a biomarker for predicting chemotherapy response has not been evaluated. …”
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Predictive Value of the White Blood Cells Count for the Prognosis of Hospitalized Patients with Acute Aortic Dissection by Yuzhen Suolang, Yizhu Gao, Changli Sun, Shu Zhang

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