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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network
Published 2025-02-01Get full text
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Outcomes of Type I Tympanoplasty using a Cartilage Shield Graft
Published 2020-12-01Get full text
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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang
Published 2024-08-01Get full text
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Deep learning based gasket fault detection: a CNN approach
Published 2025-02-01Get full text
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Native Aquatic and Wetland Plants: Cardinal Flower, Lobelia cardinalis
Published 2016-02-01Get full text
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Short-term endoscopic alterations of early gastric cancer after successful eradication of Helicobacter pylori
Published 2025-02-01“…All the confidence level of DL (High confidence: 15.6% vs. 93.3%, p value = 0.000) and invasion depth (High confidence: 37.8% vs. 80.0%, p value = 0.000) and histopathological classification (High confidence: 31.1% vs. 91.1%, p value = 0.000) were significantly improved after eradication. …”
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An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games
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Phlegmonous appendicitis as a variant of uncomplicated appendicitis
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Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning
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Burden of Comorbidities and Healthcare Resource Utilization Among Medicaid-Enrolled Extremely Premature Infants
Published 2022-12-01“…**Methods:** Using _International Classification of Diseases, Ninth/Tenth Revision, Clinical Modification_ codes, diagnosis and medical claims data from 6 state Medicaid databases (1997-2018) of infants born at less than 37 weeks of GA (wGA) were collected retrospectively. …”
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Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset
Published 2025-02-01“…Conclusion This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. …”
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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi
Published 2020-05-01“…Tests on 2601 student academic records with the attributes ipk_sem1, ipk_sem2, ipk_sem3, ipk_sem4, occupation_ortu, graduated, average_ipk, income_ayah, for the graduation classification of students resulted in an accuracy value of 86.54% a value of 93.37% and a recall value of 89.27% and a test of 89.27% and a test of graduation prediction of the number of study program enthusiasts obtained an accuracy value of 78.25% and MAPE of 21.75%. …”
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