Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms by Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V. Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

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High-resolution manometry in clinical practice: analysis of esophageal motor function according to Chicago classification by O. A. Storonova, A. S. Trukhmanov, V. T. Ivashkin

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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

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Classification and Regression Trees analysis identifies patients at high risk for kidney function decline following hospitalization. by Weihao Wang, Wei Zhu, Janos Hajagos, Laura Fochtmann, Farrukh M Koraishy

“…In the cohort of 1,747 hospital survivors, 61.6% experienced fast eGFR decline, which was associated with younger age, higher baseline eGFR, and acute kidney injury (AKI). …”
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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

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One size fits all: Enhanced zero-shot text classification for patient listening on social media by Veton Matoshi, Maria Carmela De Vuono, Roberto Gaspari, Mark Kröll, Michael Jantscher, Sara Lucia Nicolardi, Giuseppe Mazzola, Manuela Rauch, Vedran Sabol, Eileen Salhofer, Riccardo Mariani

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Day-Ahead Operational Strategy for Virtual Power Plant Considering Green Certificate Classification in Coupled Market by TIAN Yuliang, QIN Zhijun, HUANG Zhen

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Impact of FY-4A Satellite-Based Surface Solar Irradiance on the Classification of Meteorology for Ozone Pollution by Yang Cao, Xiaoli Zhao, Debin Su, Hong Ren, Xiang Cheng, Yuchun Li, Chenxi Wang

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RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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Comprehensive Analysis of Word Embedding Models and Design of Effective Feature Vector for Classification of Amazon Product Reviews by B. Priya Kamath, M. Geetha, U. Dinesh Acharya, Dipesh Singh, Ayush Rao, Shwetha Rai, Roopashri Shetty

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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by W. A. Barragán-Hernández, L. Mahecha-Ledesma, J. Angulo-Arizala, M. Olivera-Angel

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The impact of integrated genomic analysis on molecular classifications and prognostic risk stratification in endometrial cancer: a Chinese experience by Qian Zheng, Qian Zheng, Qian Zheng, Di Shao, Jin Shu, Jin Shu, Jin Shu, Qin Zhang, Qin Zhang, Qin Zhang, Min Huang, Dong Wang, Dong Wang, Dong Wang, Dongling Zou, Dongling Zou, Dongling Zou

“…Seven patients (3.6%) were downstaged, and twenty patients (10.4%) were upgraded. …”
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A Novel Classification System of Smart Mechanical Plaque Control: A Cross-Sectional Survey with Cluster Analysis by Balraj R. Shukla, Anup K. Panda

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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

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A revised classification of Dryopteridaceae based on plastome phylogenomics and morphological evidence, with the description of a new genus, Pseudarachniodes by Zheng-Yu Zuo, Germinal Rouhan, Shi-Yong Dong, Hong-Mei Liu, Xin-Yu Du, Li-Bing Zhang, Jin-Mei Lu

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A Smart Intelligence System for Hen Breed and Disease classification using Extra Tree classifier-based Ensemble Technique by Galib Muhammad Shahriar Himel, Md. Masudul Islam

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Author Correction: Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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Low Fifth-Minute Apgar Score Analysed According to Robson Ten Group Classification at a Tertiary Hospital in Nigeria by Olakunle Makinde, Benjamin O. Awotundun, Nkencho Osegi

“…CONCLUSION: Meaningful deduction is possible with use of the Robson’s classification for audit of low APGAR Score. By this study, parturients in Robson groups 3, 5.2a, 6a, 7a, 9a, 10a, 10b, and 10c are identified for focused interventions towards improving APGAR score outcomes at FMCY. …”
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