Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems by Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri

“…The proposed hybrid modified K-means with C4.5 classification in MAS is developed in JADE platform. …”
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The State of the Art of the DSM-5 “with Mixed Features” Specifier by Norma Verdolini, Mark Agius, Laura Ferranti, Patrizia Moretti, Massimiliano Piselli, Roberto Quartesan

“…On the other hand, undoubtedly the new DSM-5 classification has helped to identify more patients suffering from a mixed state by broadening the narrow DSM-IV-TR criteria. …”
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Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su’-I-Mizaj Al-Rahim) in Abnormal Vaginal Discha... by Arshiya Sultana, Wajeeha Begum, Rushda Saeedi, Khaleequr Rahman, Md Belal Bin Heyat, Faijan Akhtar, Ngo Tung Son, Hadaate Ullah

“…In addition, our SVM-RBF CV-5 classification model achieved the highest accuracy (99.2%). …”
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Clinical treatment score Post-5 Years (CTS5) predicts the benefit of postmastectomy radiotherapy in patients with T1-2N1 luminal breast cancer by Ke Liu, Guan-Qiao Li, Si-Qi Li, Xue-Qin Chen, San-Gang Wu

“…Regarding the CTS5 classification, 1641 (14.7 %), 3915 (35.0 %), and 5633 (50.3 %) patients had low-risk, intermediate-risk, and high-risk diseases, respectively. …”
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Dutch Validation of the Self-Evaluation of Negative Symptoms Scale (SNS) by Tim van Brouwershaven, Anika Poppe, Gerdina Hendrika Maria Pijnenborg, André Aleman, Nynke Boonstra, Shiral Gangadin, Sonia Dollfus, Wim Veling, Stynke Castelein, Jan Alexander de Vos, Edith Liemburg, PHAMOUS-researchers, Lisette van der Meer

“…Methods: The SNS was added to the Pharmacotherapy Monitoring Outcome Survey (PHAMOUS)-protocol for adults with a DSM-5 classification of a disorder in the psychosis spectrum. …”
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Clinical features and predictors of atrial fibrillation in patients with light‐chain or transthyretin cardiac amyloidosis by Maria Papathanasiou, Aiste‐Monika Jakstaite, Sara Oubari, Johannes Siebermair, Reza Wakili, Julia Hoffmann, Alexander Carpinteiro, Tim Hagenacker, Andreas Thimm, Christoph Rischpler, Lukas Kessler, Tienush Rassaf, Peter Luedike

“…Three independent predictors for AF were identified in a multivariate logistic regression model with 81.5% classification accuracy: AL type [odds ratio (OR) 0.1, confidence interval (CI) 0.01–0.29, P = 0.001], estimated glomerular filtration rate (OR 0.9, CI 0.93–0.99, P = 0.03), and body mass index (OR 1.3, CI 1.07–1.66, P = 0.01). …”
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