Fibrinogen: A Marker in Predicting Diabetic Foot Ulcer Severity by X. H. Li, L. Y. Guan, H. Y. Lin, S. H. Wang, Y. Q. Cao, X. Y. Jiang, Y. B. Wang

“…Using ROC statistic, a cut-off value of 5.13 g/L indicated the possible amputation with a sensitivity of 81.8% and a specificity of 78.9% (positive predictive value [PPV] 78.6%, negative predictive value [89.0%]). …”
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Lactate Level Predicts Mortality in Patients with Upper Gastrointestinal Bleeding by Muge Gulen, Salim Satar, Adnan Tas, Akkan Avci, Hakan Nazik, Basak Toptas Firat

“…The venous blood lactate value of a patient who was admitted to the emergency department with UGI bleeding might be helpful in predicting the transfusion needs of the patient and predicting the mortality.…”
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Retracted: Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Journal of Food Quality

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Predicting lung aging using scRNA-Seq data. by Qi Song, Alex Singh, John E McDonough, Taylor S Adams, Robin Vos, Ruben De Man, Greg Myers, Laurens J Ceulemans, Bart M Vanaudenaerde, Wim A Wuyts, Xiting Yan, Jonas Schupp, James S Hagood, Naftali Kaminski, Ziv Bar-Joseph

“…Age prediction based on single cell RNA-Sequencing data (scRNA-Seq) can provide information for patients' susceptibility to various diseases and conditions. …”
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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble by Mona Ahamd Alghamdi, Abdullah S. AL-Malaise AL-Ghamdi, Mahmoud Ragab

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Predictive Factors in OCT Analysis for Visual Outcome in Exudative AMD by Maria-Andreea Gamulescu, Georgios Panagakis, Carmen Theek, Horst Helbig

“…Background. Reliable predictive factors for therapy outcome may enable treating physicians to counsel their patients more efficiently concerning probability of improvement or time point of discontinuation of a certain therapy. …”
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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

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Neural Network Predictive Control for Vanadium Redox Flow Battery by Hai-Feng Shen, Xin-Jian Zhu, Meng Shao, Hong-fei Cao

“…This paper presents a neural network predictive control scheme to enhance the overall performance of the battery. …”
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Establishment and Application of the Void Closure Prediction Model of 316LN by Min Qin, Jiansheng Liu, Jingdan Li

“…The main purpose of this study is to obtain an accurate prediction model of void closure for 316LN stainless steel. …”
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Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements by Mariza Pittou, Matthew G. Karlaftis, Zongzhi Li

“…Classification trees are separately created for 4 and 2 prediction classes and relatively high degrees of success are achieved for deck condition prediction. …”
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Predictive Role of Interleukin-18 in Liver Steatosis in Obese Children by Marta Flisiak-Jackiewicz, Anna Bobrus-Chociej, Eugeniusz Tarasów, Małgorzata Wojtkowska, Irena Białokoz-Kalinowska, Dariusz Marek Lebensztejn

“…IL-18 can be considered to play a role in predicting advanced liver steatosis and fatty liver in obese children.…”
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Time Series Prediction Based on Complex-Valued S-System Model by Bin Yang, Wenzheng Bao, Yuehui Chen

“…Symbolic regression has been utilized to infer mathematical formulas in order to solve the complex prediction and classification problems. In this paper, complex-valued S-system model (CVSS) is proposed to predict real-valued time series data. …”
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Vascular Compromise and Hemodynamics in Pulmonary Arterial Hypertension: Model Predictions by Zoheir Bshouty

“…A previously validated computer model of the normal pulmonary circulation is adapted to simulate pulmonary arterial hypertension (PAH) in humans. Model predictions are used to explore the suitability of currently accepted criteria for diagnosing PAH by correlating hemodynamic data with the degree of vascular compromise (disease severity).…”
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Predicting Solar Energetic Particle Events with Time Series Shapelets by Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

“…Then, we use our proposed approach to mine shapelets and make predictions using a random forest classifier. We demonstrate that our approach rivals state-of-the-art SEP prediction, offering superior interpretability and the ability to predict SEP events before their parent eruptive flares.…”
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Predicting the structure and stability of oxide nanoscrolls from dichalcogenide precursors by Adway Gupta, Arunima K. Singh

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A Prediction Model for Recognizing Strangulated Small Bowel Obstruction by Xiaming Huang, Guan Fang, Jie Lin, Keyu Xu, Hongqi Shi, Lei Zhuang

“…This study aimed to devise a prediction model for predicting the risk of SSBO. Materials and Methods. …”
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Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…Existing models may struggle to reflect the dynamic and complicated character of meteorological systems, making it challenging to build effective flood protection techniques and predict accurate rainfall. The abstract simply outlines the paper’s goal of constructing a durable rainfall prediction model based on a single classifier and the stacking method. …”
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Blood-based DNA methylation markers for lung cancer prediction by Marc Chadeau-Hyam, Paolo Vineis, Caroline Relton, Mattias Johansson, Gianluca Severi, Roger L Milne, Melissa C Southey, Pierre-Antoine Dugué, Florence Guida, Mikael Johansson, Torkjel Sandanger, Justina Ucheojor Onwuka, Ryan Langdon, Therese Haugdahl Nøst, Hilary A. Robbins, Matthew Suderman

“…We evaluated if blood-based DNA methylation markers can improve a traditional lung cancer prediction model.Methods and analysis This study used four prospective cohorts with blood samples collected prior to lung cancer diagnosis. …”
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Driving Fatigue Prediction Model considering Schedule and Circadian Rhythm by Qi Zhang, Chaozhong Wu, Hui Zhang

“…The results demonstrated that fatigue prediction results are significantly relevant to driving performance. …”
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Automatic speech recognition predicts contemporaneous earthquake fault displacement by Christopher W. Johnson, Kun Wang, Paul A. Johnson

“…We find the model displacement predictions to be excellent. The model is adapted for near-future prediction information and found hints of prediction capability, but the results are not robust. …”
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