The Classification of Long Bone Osteomyelitis: A Systemic Review of the Literature by A. J. Hotchen, A. J. Hotchen, M. A. McNally, P. Sendi, P. Sendi, P. Sendi, P. Sendi

“…Following exclusion criteria, 13 classification systems for long-bone osteomyelitis were included for review.…”
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Assessment of genotyping markers in the molecular characterization of a population of clinical isolates of Fusarium in Colombia by Valeria Velásquez-Zapata, Katherine Palacio-Rúa, Luz E. Cano, Adelaida Gaviria-Rivera

“…Conclusion: The strong correlation between the M13 classification and the sequencingbased reference together with its higher resolution demonstrates its adequacy for the characterization of Fusarium populations.…”
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Nanostructural bioceramics : advances in chemically bonded ceramics / by Hermansson, Leif, uthor

Automatic Product Classification Using Supervised Machine Learning Algorithms in Price Statistics by Bogdan Oancea

“…We combined 9 different word-embedding techniques with 13 classification methods with the aim of identifying the best combination in terms of the quality of the resultant classification. …”
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A Composite Approach of Intrusion Detection Systems: Hybrid RNN and Correlation-Based Feature Optimization by Sunil Gautam, Azriel Henry, Mohd Zuhair, Mamoon Rashid, Abdul Rehman Javed, Praveen Kumar Reddy Maddikunta

“…It has been noted that the suggested model successfully predicted most of the network attacks with 99.13% classification accuracy. The proposed model outperformed the Naïve Bayes classifier in terms of prediction accuracy and False Positive rate. …”
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Classification of bipolar disorder in psychiatric hospital. a prospective cohort study by Øiesvold Terje, Nivison Mary, Hansen Vidje, Sørgaard Knut W, Østensen Line, Skre Ingunn

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Consent to data linkage in a large online epidemiological survey of 18–23 year old Australian women in 2012–13 by Anna Graves, Deirdre McLaughlin, Janni Leung, Jennifer Powers

“…We report on factors associated with opt-in consent to data linkage at the end of an online survey of a new cohort of 18–23 year old Australian women recruited in 2012–13. Classification and Regression Tree analysis with decision trees was used to predict consent. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network by Salari, Nader, Shohaimi, Shamarina, Najafi, Farid, Nallappan, Meenakshii, Karishnarajah, Isthrinayagy

“…The experimental findings indicated that the novel proposed hybrid model resulted in significantly better classification performance compared with all 13 classification methods. Finally, the performance results of the proposed model was benchmarked against the best ones reported as the state-of-the-art classifiers in terms of classification accuracy for the same data sets. …”
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Soft Computing Based Medical Image Analysis / by Dey, Nilanjan, 1984-, editor 611303, Ashour, Amira S., editor 649714, Shi, Fuqian, editor 648493, Balas, Valentina Emilia, editor 635809, ScienceDirect (Online service) 7722

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Classification of Bus Rapid Transit-Rail Transit Stations Using Complex Network Analysis by Chen Ye, Gao Yue'er, Shen Jingjing

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Monografias de final de curso - refletindo sobre nossas reflexões: por onde caminhamos?

“…The revision, reovery,
 classification and analyzes of the monographs presented in this article is not intended to discuss the theoretical and methodological position of these studies. …”
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Hard-to-heal diabetes-related foot ulcers: current challenges and future prospects by Nube V, Frank G, White J, Stubbs S, Nannery S, Pfrunder L, Twigg SM, McLennan SV

“…To assist in prediction of difficult-to-heal ulcers, more than 13 classification systems have been developed. Ulcer depth (or size), infection, and ischemia are the most common risk factors identified. …”
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A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize by Md. Ashraful Haque, Sudeep Marwaha, Alka Arora, Chandan Kumar Deb, Tanuj Misra, Sapna Nigam, Karambir Singh Hooda

“…The proposed network reported approx. 99.13% classification accuracy with the f1-score of 98.97% on the test images of MDSD. …”
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Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods by Eskandar Taghizadeh, Sahel Heydarheydari, Alihossein Saberi, Shabnam JafarpoorNesheli, Seyed Masoud Rezaeijo

“…Three groups of machine learning (ML) algorithms were employed: (i) four feature selection procedures are employed and compared to select the most valuable feature: (1) ANOVA; (2) Mutual Information; (3) Extra Trees Classifier; and (4) Logistic Regression (LGR), (ii) a feature extraction algorithm (Principal Component Analysis), iii) we utilized 13 classification algorithms accompanied with automated ML hyperparameter tuning, including (1) LGR; (2) Support Vector Machine; (3) Bagging; (4) Gaussian Naive Bayes; (5) Decision Tree; (6) Gradient Boosting Decision Tree; (7) K Nearest Neighborhood; (8) Bernoulli Naive Bayes; (9) Random Forest; (10) AdaBoost, (11) ExtraTrees; (12) Linear Discriminant Analysis; and (13) Multilayer Perceptron (MLP). …”
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The classification of long bone osteomyelitis by Hotchen, AJ

“…</p> <p>Systematic review of the literature highlighted 13 classification systems that have been presented in the medical literature ranging from 1970 to 2015. …”

Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

“…The experimental findings indicated that the novel proposed hybrid model resulted in significantly better classification performance compared with all 13 classification methods. The classification accuracy of the “hybrid model” and “K1-K2-NN” on ACSEKI data set were 95.2% and 94.2%, respectively, showing 0.08% improvement for the “hybrid model”. …”
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KLASIFIKASI FAKTOR YANG BERPENGARUH DALAM KEHAMILAN TIDAK DIINGINKAN MENGGUNAKAN METODE ALGORITMA DECISION TREE by Ula Mir'aatunnas Pratiwi, Mursyidul Ibad

“…The tree construction that was formed resulted in 13 classifications of factors related to KTD with the highest classification (94%) namely PUS who had children who were still alive 2, lived in urban areas, mother's age at first marriage was 25 years, and when family planning decisions were made by themselves. yourself (mother), service provider, spouse (husband).…”
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Bioclimatic change as a function of global warming from CMIP6 climate projections by M. Sparey, P. Cox, M. S. Williamson, M. S. Williamson

“…Using a streamlined Köppen–Geiger scheme with 13 classifications, global bioclimate classification maps at 2 and 4 K of global warming above a 1901–1931 reference period are presented. …”
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Mental Abilities in the Formation of Strategic Thinking at Organizational Level by Shahram Khalil Nezhad, Nader Mazloomi, Hoseyn Rahmanseresht, Akbar Moghaddar

“….- Persian references: papers (12), thesis (1), books (1).It should be noted that these sources provide 89 models/ classifications regarding the mental abilities in forming strategic thinking in organizations, as follows:- Models (54): English (41), Persian (13).- Classifications (35): English (31), Persian (4).This research is based on 1110 extracted codes from the literature. …”
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