EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification by Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi, Chen Chen, Wei Chen

“…An 16,803 30-second segment was collected from 64 infants between 36 and 43 weeks of age at Fudan University Children's Hospital to train and test the proposed model. …”
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Chrysanthemum classification method integrating deep visual features from both the front and back sides by Yifan Chen, Xichen Yang, Hui Yan, Hui Yan, Jia Liu, Jian Jiang, Zhongyuan Mao, Tianshu Wang, Tianshu Wang

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A Computer-Directed Geographic Coastal Use Classification System for Ecologic Planning: The Case of the Florida Keys by Gustavo A. Antonini, Leonard Zobler, Robert Swett

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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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Association between Quantitative Classification of Renal Surface Nodularity and Early Renal Injury in Patients with Arterial Hypertension by Jun Zhou, Jiule Ding, Jie Chen, Qiong Wu, Dehui Xiang, Wei Xing

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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

“…We conducted a retrospective cohort study on patients hospitalized at Stony Brook University Hospital in 2020 who were followed for 36 months post discharge. Random Forest (RF) identified the top ten features associated with fast eGFR decline. …”
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…<italic>Results:</italic> The best LoRA-adapted model achieved a 3&#x0025; increase in ROC AUC over the state-of-the-art model, utilized 89.9&#x0025; fewer parameters, and reduced training times by 36.5&#x0025;. <italic>Conclusions:</italic> Integrating LoRA with out-of-domain pretrained LVMs offers a promising avenue for enhancing performance of lung nodule malignancy classification. …”
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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

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Assessment of functioning and disability of postpartum women: a study based on the International Classification of Functioning, Disability and Health by Marina da Silva Moraes, Francisco Farias Feitoza, Juliana Falcão Padilha

“…The International Classification of Functioning, Disability and Health (ICF) underlie the application of the biopsychosocial model. …”
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data by Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu

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Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation by Yih-Lon Lin, Yu-Min Chiang, Tsuen-Chiuan Tsai, Sheng-Gui Su

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Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification by Jinping Liu, Jiezhou He, Zhaohui Tang, Pengfei Xu, Wuxia Zhang, Weihua Gui

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Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

“…<h4>Background</h4>Intentional and unintentional injuries are a leading cause of death and disability globally. International Classification of Diseases (ICD), Tenth Revision (ICD-10) codes are used to classify injuries in administrative health data and are widely used for health care planning and delivery, research, and policy. …”
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Clinical, genetic aspects and molecular pathogenesis of osteopetrosis by D. D. Nadyrshina, R. I. Khusainova

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Interrelation between hypoxic liver injury and Killip classification in ST-segment elevation myocardial infarction patients by Seong Huan Choi, Ji-Hun Jang, Dae-Young Kim, Young Ju Suh, Yong-Soo Baek, Sung-Hee Shin, Seong-Ill Woo, Dae-Hyeok Kim, Jeonggeun Moon, Jon Suh, WoongChol Kang, Sang-Don Park, Sung Woo Kwon

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Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification by Pengkun Liu, Shuna Ni, Stoliarov Stanislav I, Pingbo Tang

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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

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DualTransAttNet: A Hybrid Model with a Dual Attention Mechanism for Corn Seed Classification by Fei Pan, Dawei He, Pengjun Xiang, Mengdie Hu, Daizhuang Yang, Fang Huang, Changmeng Peng

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Erroneous Classification and Coding as a Limitation for Big Data Analyses: Causes and Impacts Illustrated by the Diagnosis of Clavicle Injuries by Robert Raché, Lara-Sophie Claudé, Marcus Vollmer, Lyubomir Haralambiev, Denis Gümbel, Axel Ekkernkamp, Martin Jordan, Stefan Schulz-Drost, Mustafa Sinan Bakir

“…Further prospective studies are needed, as accurate classification is foundational for the reliable application of Big Data and AI-based analyses in clinical research.…”
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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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