Sentiment Analysis of User Reviews of the AdaKami Online Loan App from the App Store Using SVM and Naive Bayes by Wava Lativa Azzahra, Jamaludin Indra, Rahmat Rahmat, Sutan Faisal

“…The classification model was built using two machine learning algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). …”
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Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring by Amarjeet Prajapati, Anshu Parashar, null Sunita, Alok Mishra

“…It has been observed that these kinds of many-objective optimization problems (MaOPs) often pose several performance challenges to the traditional multi-objective optimization algorithms. To address the performance issue caused by the different types of MaOPs, recently, a variety of many-objective particle swarm optimization (MaOPSO) has been proposed. …”
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Image Matting using Superpixels Centroid by Anam Akbar, Aniqa Shirazi, Mohammad Sarim Farooqui

“…Results are comparable to the different matting algorithms applied independently on images of dataset. …”
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Psychometric properties of the German version of the Traumatic Grief Inventory-Self Report Plus (TGI-SR+) by Julia Treml, Viktoria Schmidt, Elmar Braehler, Matthias Morfeld, Anette Kersting

“…Despite the same name, both versions of PGD differ in symptom count, content, and diagnostic algorithm. …”
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Reduced Incidence and Better Liver Disease Outcomes among Chronic HCV Infected Patients Who Consume Cannabis by Adeyinka Charles Adejumo, Oluwole Muyiwa Adegbala, Kelechi Lauretta Adejumo, Terence Ndonyi Bukong

“…We analyzed hospital discharge records of adults (age ≥ 18 years) with a positive HCV diagnosis. We evaluated records from 2007 to 2014 of the Nationwide Inpatient Sample (NIS). …”
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DETERMINING THE DISTANCE TO THE TARGET IN PASSIVE RADAR OF SURFACE OBJECTS by I. M. Mytsenko, O. M. Roenko

“…The performance of the system is evaluated through numerical modelling and analysis. …”
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Bone Mineral Density and Fracture Risk Assessment in Patients of Systemic Sclerosis by Piyush Jain, Satyajt Parihari, Anil Taneja

“…SSc may be considered as an independent risk factor for osteoporosis and patients of SSc should be evaluated for BMD with DEXA scan to prevent osteoporotic fractures.…”
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Multiparametric radiomics signature for predicting molecular genotypes in adult-type diffuse gliomas utilizing 18F-FET PET/MRI by Jie Bai, Bixiao Cui, Fengqi Li, Xin Han, Hongwei Yang, Jie Lu

“…The predictive performance of these models was evaluated via receiver operating characteristic (ROC) curves and decision curve analysis (DCA). …”
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Clinical decision support system based on artificial intelligence for adjusting insulin pump parameters in children with type 1 diabetes mellitus by D. Yu. Sorokin, E. S. Trufanova, O. Yu. Rebrova, O. B. Bezlepkina, D. N. Laptev

“…We constructed recurrent neural network (RNN) to predict glucose concentration for 30-120 minutes, an algorithm for optimizing IP settings using prediction results. …”
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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software by L. de Vugt, E. Carraro, A. Fatihi, E. Mattea, E. Myall, D. Czerwonka-Schröder, K. Anders

“…Changes are quantified via direct point cloud comparison using the M3C2 algorithm and assessed both spatially per epoch as well as regarding the time series information at selected locations. …”
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Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction by Ninad Bhagwat, Xiaobing Zhou, Raja Nagisetty, Liping Jiang, Glenn Shaw, Martha Apple, Jeremy Clotfelter

“…Root-Mean-Square Error, Normalized Root-Mean-Square Error, Mean Absolute Error, and Volume Difference) indicators, highlighting the significant impact of flow regulation on SRM performance. …”
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Debridement, antibiotics, and implant retention in non‐oncological femoral megaprosthesis infections: minimum 5 year follow‐up by A. Asokan, M. S. Ibrahim, J. W. Thompson, F. S. Haddad

“…This study indicates judicious use of DAIR can be an appropriate part of the treatment algorithm. Level of evidence II…”
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Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning by Jiachen Fan, Na Li, Yanfang Lu, Huixia Cao

“…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …”
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Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis by Jian Du, Tian Zhou, Wei Zhang, Wei Peng

“…Finally, immune cell infiltration analysis was performed using CIBERSORT algorithm to explore the correlation between feature genes and immune cells. …”
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PANoptosis-Relevant Subgroups Predicts Prognosis and Characterizes the Tumour Microenvironment in Ovarian Cancer by Chen Y, Deng Z, Chen J, Lin J, Zou J, Li S, Sun Y

“…CIBERSORT assessed immune cell infiltration by risk score, and a predictive algorithm evaluated chemotherapy responses. Additionally, we investigated the biological role of the key gene CXCL13 in OC and its response to immunotherapy.Results: Based on 19 PRGs, we identified two OC subtypes (PAN-Cluster1, PAN-Cluster2). …”
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Screening of Reference Genes for Quantitative Real-time PCR in Curcuma alismatifolia Bracts by Jianjun TAN, Lishan HUANG, Yiwei ZHOU, Yechun XU, Yuanjun YE

“…The ranking of results obtained from the four different algorithms varied. Specifically, MDH was identified as the most stable reference gene in the ΔCt, geNorm, and NormFinder methodologies analysis, whereas 18S rRNA was the most stable reference gene in the BestKeeper analysis. …”
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Multi-Temporal Remote Sensing Satellite Data Analysis for the 2023 Devastating Flood in Derna, Northern Libya by Roman Shults, Ashraf Farahat, Muhammad Usman, Md Masudur Rahman

“…The main objective of study is to explore the capabilities of different algorithms and remote sensing datasets for quantitative change estimation after the flood. …”
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Regional Sea Surface Skin Temperature Retrieval From HY-1C and HY-1D COCTS by Zhuomin Li, Rui Chen, Mingkun Liu, Lei Guan

“…The HY-1C and HY-1D COCTS SSTs in the SCS are retrieved utilizing the obtained algorithm. The HY-1C/COCTS SSTs are evaluated using the sea and land surface temperature radiometer SST, and the HY-1D/COCTS SSTs are evaluated using the Visible Infrared Imaging Radiometer Suite SST. …”
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Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis by Erfan Shirmohamadi, Reza Hosseini Dolama, Narjes Mohammadzadeh, Navid Ebrahimi, Negar Ghasemloo

“…Subgroup analyses were performed to evaluate differences between cardiac and non-cardiac surgeries. …”
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Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learnin... by Hugo F. Monteiro, Alejandro Hoyos-Jaramillo, Adriana Garzon, Heather M. Fritz, Craig C. Miramontes, Isabelle M. Matos, Terry W. Lehenbauer, Sharif Aly, Fabio S. Lima, Richard V. Pereira

“…Machine learning models with cross-validation showed a weak ability to distinguish positive from negative cases when using age, season, and farm for all scenarios according to F1-scores and receiver operating characteristic analysis. Differences in predictive abilities, factor importance, and the still limited number of predictors in these ML analyses further indicate a potential for building more robust future models once datasets are expanded and more robust algorithms are considered. …”
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