Prealbumin/CRP Based Prognostic Score, a New Tool for Predicting Metastasis in Patients with Inoperable Gastric Cancer by Ali Esfahani, Nima Makhdami, Elnaz Faramarzi, Mohammad Asghari Jafarabadi, Alireza Ostadrahimi, Mousa Ghayour Nahand, Zohreh Ghoreishi

“…PCPS has been suggested for predicting metastasis in patients with gastric cancer. …”
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Predicting CO2 Permeation through an Enhanced Ionic Liquid Mixed Matrix Membrane (IL3M) by Dzeti F. Mohshim, Hilmi Mukhtar, Binay K. Dutta, Zakaria Man

“…Large deviations were found between the model predictions and experimental data. FESEM images suggested that local agglomeration and disorientation of the SAPO-34 particles within the membrane afforded substantial changes in the morphology. …”
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Predictive Value of Tumor Load in Breast Cancer Sentinel Lymph Nodes for Second Echelon Lymph Node Metastases by C. H. M. van Deurzen, R. van Hillegersberg, M. G. G. Hobbelink, C. A. Seldenrijk, R. Koelemij, P. J. van Diest

“…Background: The need for routine axillary lymph node dissection (ALND) in patients with invasive breast cancer and low-volume sentinel node (SN) involvement is questionable. Accurate prediction of second echelon lymph node involvement could identify those patients most likely to benefit from ALND.…”
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Predicting Shear Strength in FRP-Reinforced Concrete Beams Using Bat Algorithm-Based Artificial Neural Network by Mohammad Nikoo, Babak Aminnejad, Alireza Lork

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Relationship between PLR and Clinicopathological Characteristics of Patients with Advanced NSCLC and Its Predictive Value for the Efficacy of Chemotherapy and Prognosis by Jianming Zhao, Yiping Pan, Yu Sheng, Jun Sun

“…To investigate the relationship between blood platelet-to-lymphocyte ratio (PLR) and clinicopathological characteristics of patients with advanced non-small cell lung cancer (NSCLC) and evaluate the value of PLR for predicting the efficacy of chemotherapy and prognosis. …”
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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

“…In this work, we have attempted to predict the mechanical behaviour of light weight Mg-based rare earth alloys fabricated through different mechanical and thermal processes. …”
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Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method by Syaiful Anam, Mochamad Hakim Akbar Assidiq Maulana, Noor Hidayat, Indah Yanti, Zuraidah Fitriah, Dwi Mifta Mahanani

“…Artificial neural network (ANN) is the prediction method that delivers effective results in doing this job. …”
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Modeling for Prediction of Mortality Based on past Medical History in Hospitalized COVID-19 Patients: A Secondary Analysis by Seyyed Amir Yasin Ahmadi, Yeganeh Karimi, Arash Abdollahi, Ali Kabir

“…Stepwise logistic regression was used to predict mortality by PMHx and background covariates such as intensive care unit (ICU) admission. …”
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TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data by Jinmao Zhang, Huanchang Chen, Yiming Fang

“…To address this problem, a prediction model, named as TaxiInt, is proposed in this study. …”
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Comparison of Montreal Cognitive Assessment in Korean Version for Predicting Mild Cognitive Assessment in 65-Year and Over Individuals by Chiang-Soon Song, Hye-Sun Lee, Byung-Yoon Chun

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Predicting Success of Two-Stage Exchange for Prosthetic Joint Infection Using C-Reactive Protein/Albumin Ratio by Cierra S. Hong, Sean P. Ryan, Jonathan A. Gabor, Michael A. Bergen, Ran Schwarzkopf, Thorsten M. Seyler

“…Therefore, CAR is not applicable in predicting the prognosis of two-stage revisions for PJI in total arthroplasty but other preoperative inflammatory-based prognostic scores should be explored.…”
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A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds by Yongwook Jeong

“…This paper considers how BIM should be redefined to process BIM data as linked semantic data from the perspective of building information management and employ recent advances in the evaluation, analytics, and prediction (EAP) methodology for linked building ontologies and reasoners.…”
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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

“…It is observed from the published literature that there were so few studies concentrating on predicting both fresh and hardened properties of self-compacting concrete (SCC). …”
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Personalized neuron-specific enolase level based on EEG pattern for prediction of poor outcome after cardiac arrest by Juliette Pelle, Estelle Pruvost-Robieux, Florence Dumas, Antonin Ginguay, Julien Charpentier, Clara Vigneron, Frédéric Pène, Jean Paul Mira, Alain Cariou, Sarah Benghanem

“…The objective was to determine whether the NSE threshold which predicts poor outcome varies according to EEG patterns and the effect of electrographic seizures on NSE level. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…H2O2 dosage, Fe2+ dosage, reaction time and pH value are selected as the main influencing factors of the COD degradation, and 30 groups of experimental data are selected to train the IPSO-BP neural network. The results predicted by the trained IPSO-BP neural network on 10 groups of test data are compared with the actual values, and the results predicted by BP model and genetic algorithm-BP (GA-BP) model are compared. …”
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Rethinking risk prediction: The role of albumin and other parameters in implant-associated complications after hip or knee arthroplasty. by Petr Domecky, Anna Rejman Patkova, Lenka Zaloudkova, Tomas Kucera, Pavel Sponer, Josef Maly

“…The aim of this study was to predict the likelihood of implant-associated complications during the preoperative and postoperative course.…”
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Analysis of factors associated with intercostal neuralgia after osteoporotic thoracic spine fracture and construction of a prediction model by Zhen-Gang Liu, Fan Yang, Peng-fu Li, Qi Song, Gao Wang, Bo-Yin Zhang

“…Abstract Objective This study aims to investigate the associated factors of intercostal neuralgia in patients with osteoporotic vertebral compression fractures (OVCF) of the thoracic spine and to develop a predictive model to assess the likelihood of patients developing intercostal neuralgia following thoracic vertebral fractures. …”
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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

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Predictive value of the angiogenic test (sFlt / PIGF ratio) in hypertensive disorders of pregnancy. Perinatal results in Cienfuegos by Vivian Rosa Vázquez Martínez, Cristóbal Jorge Torres González, Greter Torres Vázquez

“…<br /><strong>Objective</strong>: to validate the predictive value of the angiogenic test (sFlt / PIGF ratio) in hypertensive disorders of pregnancy.…”
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A New Risk Prediction Model for the Assessment of Myocardial Injury in Elderly Patients Undergoing Non-Elective Surgery by Vedat Cicek, Mert Babaoglu, Faysal Saylik, Samet Yavuz, Ahmet Furkan Mazlum, Mahmut Salih Genc, Hatice Altinisik, Mustafa Oguz, Berke Cenktug Korucu, Mert Ilker Hayiroglu, Tufan Cinar, Ulas Bagci

“…<b>Aims:</b> This study aimed to create a new risk prediction model to assess myocardial injury after non-cardiac surgery (MINS) in elderly patients and compare it with the RCRI, a well-known pre-operative risk prediction model. …”
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