Therapeutic strategies for periprosthetic femoral fractures based on three classification systems by Tomonori Baba, Taiji Watari, Yasuhiro Homma, Kazuo Kaneko, Muneaki Ishijima

“…This review outlines detailed therapeutic approaches based on three classification systems: the Baba, AO/OTA, and Vancouver classifications. …”
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Evaluation of three classification systems for fractures of the distal end of the radius: Frykman, Universal and A.O. by Henrique Mansur, Leonidas Durval Gripp

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Comparison of the performance of three classification criteria for Behçet's Disease in a single centre cohort from South India by Vishnu S Chandran, Suma Balan

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The comparison of three classification methods of remote sensing techniques for the purpose of categorizing habitat types of Khar Yamaat Nature Reserve by Munkhtur Davaagerel, Basan Munkhchuluun, Uudus Bayarsaikhan

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The Relation between Morphology of Maxillary Sinus after Augmentation in Three Classification Methods and Residual Bone Height: A Retrospective Study by Zhi Wang, Qi Jia, Heng Bo Jiang, Jianmin Han, Lidong Zou, Guangliang Niu

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Advanced machine learning techniques for social support detection on social media by Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani, Ameeta Agrawal, Raúl Monroy, Grigori Sidorov

“…The dataset is annotated for three classification tasks: (1) distinguishing supportive from non-supportive comments, (2) determining whether the support is directed at an individual or a group, and (3) further categorizing group support into six subtypes (Nation, LGBTQ, Black Community, Women, Religion, and Other). …”
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Discussion on the land classification by WANG Ren-chao

“…The trial plan of land classification system based on this three-classification system is presented in case of Zhejiang province. …”
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Evaluation of novel candidate variations and their interactions related to bipolar disorders: Analysis of GWAS data by Acikel C, Aydin Son Y, Celik C, Gul H

“…After preprocessing of the genotyping data, three classification-based data mining methods (ie, random forest, naïve Bayes, and k-nearest neighbor) were performed. …”
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Classifications for radiographic evaluation of radiolucent bone lesions have poor inter- and intra-observer agreement by Taylor J. Willenbring, Sarah M. Papa, Kenneth A. Mann, Salvatore M. Cavallaro, Timothy A. Damron

“…We studied the interobserver reliability and intra-observer reproducibility of three classification systems of radiographic radiolucent lesions: (1) original Lodwick classification, (2) modified Lodwick classification, and (3) Enneking classification for benign tumors. …”
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Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT by Changyu Du, Jian He, Qiye Cheng, Mengting Hu, Jingyi Zhang, Jiageng Shen, Shigeng Wang, Yijun Liu, Jianying Li, Wei Wei

“…The Dice similarity coefficient (DSC) and volume difference (VD) were employed to evaluate the performance of the segmentation model. A three-classification predictive model for assessing bone mineral status was constructed utilizing radiomic analysis. …”
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Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus by Rosalind Ramsey-Goldman, Theresa L Walunas, Abel N Kho, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo

“…In general, algorithms based on laboratory results performed better than those primarily based on diagnosis codes. All three classification criteria systems effectively distinguished members of our case and control cohorts, but the SLICC criteria-based algorithm had the highest overall performance (76% sensitivity, 99% specificity).Conclusions It is possible to characterise disease manifestations in people with lupus using classification criteria-based algorithms that assess structured EHR data. …”
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Revisiting the cognitive and behavioral aspects of loneliness: Insights from different measurement approaches. by Andrej Skoko, Noëmi Seewer, Marcus Mund, Tobias Krieger

“…The results indicate fair to substantial agreement between the three classification methods. Further, we found significant group differences regarding all components, such as interpretation bias, social avoidance, and self-esteem, with each loneliness classification method. …”
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Static Analysis-based Detection of Android Malware using Machine Learning Algorithms by Omar Emad Saied, Karam Hatim Thanoon

“…The proposed method utilizes three classification algorithms: Support Vector Machine (SVM), Random Forest, and Decision Tree. …”
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Typology Issues of Commemoration Practices in New Media by N. V. Shalyutina, K. V. Igaeva

“…A comparative analysis of three classification options for commemoration practices in “new media” is presented, including R. …”
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Etude expérimentale en cartographie de la végétation par télédétection by Vanessa Sellin, Sylvie Magnanon, Françoise Gourmelon, Françoise Debaine, Jean Nabucet

“…Results were evaluated at three classification levels, corresponding to land cover, large vegetation types, and plant formation types. …”
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The knowledge organisation of sub-subgenres: the curious case of the collaborative works of Gilbert and Sullivan by Deborah Lee

“…This paper uses literature analysis (musicological, theatrical and literary) and classification scheme analysis (informal domain classifications). It applies three classification theory ideas – characteristics of division, boundaries of classes and thesaural relationships – to the domain knowledge of Gilbert and Sullivan.  …”
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Sentiment Analysis of MyBCA Application User Reviews using Naive Bayes, Random Forest, and Decision Tree by Muhammad Rizky Mawandhyka Akbar, Irfan Pratama

“…This study aims to analyze the sentiment of user reviews on the MyBCA application using three classification methods: Naive Bayes, Random Forest, and Decision Tree. …”
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Comparison of Multinomial, Bernoulli, and Gaussian Naïve Bayes for Complaint Classification in Pro Denpasar Application by Ida Bagus Mahendra, I Made Gede Sunarya, I Made Agus Wirawan

“…This study compares three classification methods including multinomial naïve bayes, bernoulli naïve bayes and gaussian naïve bayes by applying TF-IDF feature extraction to determine the best complaint category classification method. …”
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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

“…In this study, we apply data preprocessing techniques such as Random Under Sampling to balance the dataset and Robust Scaler to reduce the effect of outliers, thereby improving model performance. Three classification algorithms are implemented, including k-Nearest Neighbors (k-NN), Radius Nearest Classifier (RNC), and Nearest Centroid Classifier (NCC), with the goal of evaluating their effectiveness in detecting cyber-attacks. …”
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DANA App Sentiment Analysis: Comparison of XGBoost, SVM, and Extra Trees by Muhamad Jodi Setiawan, Vinna Rahmayanti Setyaning Nastiti

“…The results of the three classification methods are measured by the accuracy matrix and F1-Score to assess model performance, the SVM and XGBoost methods obtained an accuracy of 93% and the ETC method achieved an F1-Score value of 96% at K=6, the three models proved to be very accurate in predicting the sentiment of DANA application reviews both positive and negative. …”
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