NOISE PREDICTION, CALCULATION AND MAPPING USING SPECIALIZED SOFTWARE by ALINA PETROVICI, CLAUDIA TOMOZEI, RICARDO GEY FLORES, FLORIN NEDEFF, OANA IRIMIA

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A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS by DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN

Subjects: “…predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning…”
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A model for predicting dropout of higher education students by Anaíle Mendes Rabelo, Luis Enrique Zárate

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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. In this article, the author first process the dataset sought from the internet, then predict the magnitude and the alert of earthquakes, with four machine learning models and a neural network. …”
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Comparative Study on Traffic Prediction Using Different Models by Jiao Zhtiofan

“…Traffic flow prediction (TFP) is a complex and critical field that is of great significance for urban planning, management, and resource allocation. …”
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Perinatal Outcomes among Cases of Predicted and Unpredicted Macrosomia by Merita Isaku, Enxhi Vrapi, Tedi Bimbashi, Ina Cala, Kizjona Perdja, Redi Hoxhallari, Astrit Bimbashi

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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

“…This study aims to evaluate machine learning (ML) model performance compared to WHO-recommended warning signs in predicting severe dengue among laboratory-confirmed cases in Puerto Rico. …”
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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…SVMs, and random forests) in predicting online course participation. To ensure the accuracy and generalizability of the results, the paper evaluated the models using k-fold cross-validation. …”
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Prediction Tools in Spine Surgery: A Narrative Review by Martin Coia Jadresic, Joseph F Baker

“…There have been increasing reports on prediction models in spine surgery. Interest in prognostic tools or risk calculators can facilitate shared decision-making about treatment between patients and clinicians. …”
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Obituaries and predictions: a sociological perspective on the future of religion by J. Beyers

“…There are reasons why religion did not disappear or become invisible as was predicted. The article investigates certain key characteristics of current society in order to determine the nature of religion in the future. …”
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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…In recent years, machine learning techniques have shown remarkable potential in house price prediction, as these models can mine the complex nonlinear correlations in large amounts of historical data to produce more detailed and accurate predictions. …”
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The Application Prospects of Event Data in Traffic Flow Prediction by Chen Haochi, Guo Zixin, Jiang Zicong

“…Conventional methods of predicting traffic flow can often be based on weekdays, certain holidays, road conditions, or signal light circumstances. …”
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Biomarkers to predict the outcomes of surgical intervention for aortic dissection by Abanob G. Hanna, Fabian Jimenez Contreras, Omar M. Sharaf, Griffin P. Stinson, Philip J. Hess

“…Methods Relevant biomarkers were selected if they had predictive value in inflammatory disease processes and/or cardiovascular disease. …”
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Polygenic prediction of human longevity on the supposition of pervasive pleiotropy by M. Reza Jabalameli, Jhih-Rong Lin, Quanwei Zhang, Zhen Wang, Joydeep Mitra, Nha Nguyen, Tina Gao, Mark Khusidman, Sanish Sathyan, Gil Atzmon, Sofiya Milman, Jan Vijg, Nir Barzilai, Zhengdong D. Zhang

“…We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. We assessed the predictive performance of our model for distinguishing the enrichment of exceptional longevity among long-lived individuals in two replication cohorts (the Scripps Wellderly cohort and the Medical Genome Reference Bank (MRGB)) and showed that the median lifespan in the highest decile of our composite prognostic index is up to 4.8 years longer. …”
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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…While SVM has the highest precision, it performs poorly on recall, limiting its overall performance on diabetes prediction. On the contrary, LR and RF achieved good results in the F-score, making them outperform the other models in terms of overall performance score in predicting diabetes.…”
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Investigation of the Predictive Factors of Recurrent Ovarian Mucinous Cystadenoma by Aykut Ozcan, Meric Balikoglu, Kaan Okan Alkan, Varol Gulseren

“… OBJECTIVE: Rapid growth patterns and recurrence with variable rates have been reported in the literature, making mucinous cystadenomas different from other ovarian benign neoplasms. The study aimed to predict and prevent recurrence based on the obtained results. …”
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Prediction of Outcomes in Sports Under Probability in Kigezi Region. by Masereka, Jairus

Subjects: “…Prediction…”
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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

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Symptoms and coronary risk factors predictive of adverse cardiac events in chest pain patients in an Asian emergency department: the need for a local prediction score by Ziwei Lin, Swee Han Lim, Qai Ven Yap, Cheryl Shumin Kow, Yiong Huak Chan, Siang Jin Terrance Chua, Anantharaman Venkataraman

“…Our study aimed to identify clinical characteristics predictive of major adverse cardiac events (MACE) in an Asian population and to derive a risk score for MACE. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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