Development of the Method for Predicting and Calculating the Operation of Sorption Systems for Cleaning the Generator Gas based on Dolomite Use. Part II by Malko M.V., Vasilevich S.V., Mitrofanov A.V., Mizonov V.E.

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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…The XGBoost model achieved an AUC of 95% and an accuracy of 75.08% in predicting AKI and survival, surpassing other ML classifiers that demonstrated accuracy levels ranging from 54% to 65%. …”
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1DCNN-Residual Bidirectional LSTM for Permanent Magnet Synchronous Motor Temperature Prediction Based on Operating Condition Clustering by Jingrong Cheng, Feifan Ji, Chenglong Huang, Tong Wang, Yan Liu, Yanjun Li

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Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

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Predicting the remaining useful life of metro pantograph sliding strips using gamma processes and its implications for maintenance scheduling. by Jie Liu, Chuang Wu

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Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

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Nomogram prediction of molecular characteristics in WHO grade 3–4 diffuse gliomas based on fractal analysis and VASARI features by Changyou Long, Dan Xu, Wenbo Sun, Weiqiang Liang, Jie Zhou, Shen Gui, Huan Li, Haibo Xu

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Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self‐supervised deep learning by Qingyuan Zheng, Xinyu Wang, Rui Yang, Junjie Fan, Jingping Yuan, Xiuheng Liu, Lei Wang, Zhuoni Xiao, Zhiyuan Chen

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Development and validation of a nomogram for predicting postoperative recurrent lumbar disc herniation after unilateral biportal endoscopic discectomy by Zhibin Xing, Hongyu Guo, Yuepeng Song, Lingli Cai, Renhao Zhang, Miaomiao Zhu

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Predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer with two step feature selection and ensemble learning by Changshun Qian, Shuxin Yang, Yijing Chen, Ran Ge, Fangmin Shi, Chengnan Liu, Hui Wang, You Guo

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Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis by Xiangui Lv, Daiqiang Liu, Xinwei Chen, Lvlin Chen, Xiaohui Wang, Xiaomei Xu, Lin Chen, Chao Huang

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Nomogram Predicting In-Hospital Mortality in Patients with Myocardial Infarction Treated with Primary Coronary Interventions Based on Logistic and Angiographic Predictors by Lukasz Gawinski, Anna Milewska, Michal Marczak, Remigiusz Kozlowski

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Multi-omics prediction of axillary treatment response and tumour microenvironment alterations in lymph node-positive luminal breast cancer by Teng Ma, Zirui Wang, Zhe Zhou, Yongmei Wang, Tianyi Ma, Xiangping Liu, Yan Mao, Haibo Wang

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Early dynamics of clinical and laboratory parameters predict primary refractory disease in patients with metastatic urothelial carcinoma receiving atezolizumab by Guru Sonpavde, Paul J Catalano, Franziska Michor, Christopher J Graser, Thomas O McDonald

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A unique statistical framework to predict the health of a machine by utilizing the vibration features of rolling element bearing data by Saima Bhatti, Fozia Shaikh, Asif Mansoor, Asif Ali Shaikh

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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

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A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction by Sangkeum Lee, Mohammad H. Almomani, Saleh Ali Alomari, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Amir H. Gandomi, Laith Abualigah

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A Novel Approach Utilizing Bagging, Histogram Gradient Boosting, and Advanced Feature Selection for Predicting the Onset of Cardiovascular Diseases by Norma Latif Fitriyani, Muhammad Syafrudin, Nur Chamidah, Marisa Rifada, Hendri Susilo, Dursun Aydin, Syifa Latif Qolbiyani, Seung Won Lee

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Natural Language Processing-Based Deep Learning to Predict the Loss of Consciousness Event Using Emergency Department Text Records by Hang A. Park, Inyeop Jeon, Seung-Ho Shin, Soo Young Seo, Jae Jun Lee, Chulho Kim, Ju Ok Park

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Enhancing mortality prediction after coronary artery bypass graft: a machine learning approach utilizing EuroScore by Emad Hijazi

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