Prediction of ACL Injuries from Vertical Jump Kinetics in Division 1 Collegiate Athletes by Marisa Pontillo, Shawn M Hines, Brian J Sennett

“…Logistic regression was used to determine if the battery of variables could predict whether or not an athlete would sustain an ACL injury. …”
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Retracted: Research on International Law Data Integrity Guarantee Based on Antiterrorism Prediction Algorithm by Journal of Mathematics

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Machine learning approaches for predicting protein-ligand binding sites from sequence data by Orhun Vural, Leon Jololian

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Cardiovascular disease risk prediction by Framingham risk score in women with polycystic ovary syndrome by Mina Amiri, Maryam Mousavi, Mahsa Noroozzadeh, Fereidoun Azizi, Fahimeh Ramezani Tehrani

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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

Subjects: “…long-time trajectory prediction…”
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Verification of a Torsional Behaviour Prediction Model for Reinforced Recycled Aggregate Concrete Beams by Aqeel H. Chkheiwer, Mazin A. Ahmed, Zahir M. N. Hassan

“…In a second analysis, the whole torsional reaction of the beams was analytically predicted. A soft truss model was used and matched with test results for standard beams. …”
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Sepsis in Internal Medicine: blood culture-based subtypes, hospital outcomes, and predictive biomarkers by Gaetano Zizzo, Gabriele Guazzardi, Daniela Bompane, Francesco Di Terlizzi, Giorgio Rotola, Ilario Stefani, Michela Medugno, Mario Bucalo, Antonino Mazzone

“…C-reactive protein elevation predicted rapidly evolving culture-negative sepsis, whereas lower leukocyte counts predicted prolonged hospitalization; higher fractions of inspired oxygen predicted polymicrobial sepsis, while lactate elevation predicted ICU transfer; ferritin elevation and increased leukocyte counts predicted MDR+ sepsis, while further ferritin elevation and decreased platelet counts predicted death. …”
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Graph Convolutional Network with Neural Collaborative Filtering for Predicting miRNA-Disease Association by Jihwan Ha

“…<b>Methods:</b> Here, we discuss a novel machine-learning model that effectively predicts disease-related miRNAs using a graph convolutional neural network with neural collaborative filtering (GCNCF). …”
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The Relationship Between Consumption Power and GDP Growth in China and Machine Learning Prediction Analysis by Hu Runsong

“…The paper examines the use of machine learning for predicting consumption capacity by integrating various economic models, including Support Vector Regression (SVR) and Long Short-Term Memory Network (LSTM). …”
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Computational Modelling Strategies for Nonlinear Response Prediction of Corroded Circular RC Bridge Piers by Mohammad M. Kashani, Laura N. Lowes, Adam J. Crewe, Nicholas A. Alexander

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A systematic literature review of forecasting and predictive models for enterococci intrusion in aquatic ecosystems by Philomina Onyedikachi Peter, Edoardo Bertone, Rodney A. Stewart

“…However, rising levels of Enterococci (ENT) present significant risks to aquatic ecosystems and human well-being. Predicting ENT concentrations and understanding their environmental and anthropogenic drivers are essential for effective water resource management and the mitigation of health risks. …”
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Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach by Panying Rong, Yana Yunusova, Jun Wang, Jordan R. Green

“…Purpose. To develop a predictive model of speech loss in persons with amyotrophic lateral sclerosis (ALS) based on measures of respiratory, phonatory, articulatory, and resonatory functions that were selected using a data-mining approach. …”
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A Study on Glycyrrhiza glabra-Fortified Bread: Predicted Glycemic Index and Bioactive Component by M. Prabhahar, Gomathi K, Prakash S, Sendilvelan S, Saravana Kumar M, Jijina GO, Edwin Geo Varuvel, Haiter Lenin A

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First Trimester Aneuploidy Screening Program for Preeclampsia Prediction in a Portuguese Obstetric Population by Cláudia Teixeira, Eduardo Tejera, Helena Martins, António Tomé Pereira, Altamiro Costa-Pereira, Irene Rebelo

“…To evaluate the performance of a first trimester aneuploidy screening program for preeclampsia (PE) prediction in a Portuguese obstetric population, when performed under routine clinical conditions. …”
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Colostral immunity as an analytical factor in predicting the development of acute respiratory viral infections in calves by E. N. Shilova, A. P. Poryvaeva, E. V. Pechura, L. V. Khalturina

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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…Abstract Background Drug-target binding affinity (DTA) prediction is vital in drug discovery and repositioning, more and more researchers are beginning to focus on this. …”
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An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers. by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong, Abdul-Salaam Gaddafi

“…Three supervised learning techniques are used and evaluated for performance. Prediction accuracy score of area under the curve obtained show Gradient Boosting classifier achieved 91% accuracy, Logistic Regression 93% and Random Forest 91%. …”
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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…The main objective of this study was to compare different machine learning algorithms to predict daily dry matter intake (DMI) in feedlot cattle. …”
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Efficient multi-omics clustering with bipartite graph subspace learning for cancer subtype prediction by Shuwei Zhu, Hao Liu, Meiji Cui

“…Also, integrating multi-omics data related to cancer occurrence and progression can lead to a better understanding of cancer pathogenesis, subtype prediction, and personalized treatment options. Therefore, we proposed an efficient multi-omics bipartite graph subspace learning anchor-based clustering (MBSLC) method to identify cancer subtypes. …”
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Predicting Adjustment of students based on School Culture: the mediating role of Quality of life at School by Seyed Alireza Ghasemi, Hossein Khosravi, Minoo Miri, Hadi Pourshafei, Faezeh Khosravi

“…The current research was conducted with the aim of predicting the adjustment of students based on school culture with the mediating role of quality of life at school. …”
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