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    The performance of computer-aided detection for chest radiography in tuberculosis screening: a population-based retrospective cohort study by Henan Xin, Wei Wang, Xiaomeng Wang, Juanjuan Huang, Yuanzhi Di, Jiang Du, Xuefang Cao, Boxuan Feng, Lingyu Shen, Yijun He, Tonglei Guo, Zihan Li, Jianguo Liang, Zhen Wang, Ping Zhu, Lei Gao

    Published 2025-12-01
    “…With 3 years’ results, their CAD scores exhibited dynamic changes along with disease progression or treatment with median scores peaking in the year of diagnosis. …”
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    Evaluating and implementing temporal, spatial, and spatio-temporal methods for outbreak detection in a local syndromic surveillance system. by Robert W Mathes, Ramona Lall, Alison Levin-Rector, Jessica Sell, Marc Paladini, Kevin J Konty, Don Olson, Don Weiss

    Published 2017-01-01
    “…We also evaluated each method's implementation, programming time, run time, and the ease of use. Among the temporal methods, at a set specificity of 95%, a Holt-Winters exponential smoother performed the best, detecting 19% of the simulated injects across all shapes and sizes, followed by an autoregressive moving average model (16%), a generalized linear model (15%), a modified version of the Early Aberration Reporting System's C2 algorithm (13%), a temporal scan statistic (11%), and a cumulative sum control chart (<2%). …”
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    CRP and TNF-α Detection using Porous Silicon Substrate Based on Reflectometric Interference Fourier Transform Spectroscopy by Sh. Mohammadi, F. Rahimi, A.H. Rezayan, A. Abouei Mehrizi, M. Sedighi

    Published 2022-11-01
    “…As a result, an accurate and timely diagnosis of sepsis is critical for selecting the best treatment to prevent disease progression and mortality. In this study, CRP and TNF-α as common biomarkers of sepsis were detected using a label-free optical biosensor based on interferometric Fourier transform spectroscopy from a porous silicon substrate. …”
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    Detectable 2019-nCoV viral RNA in blood is a strong indicator for the further clinical severity by Weilie Chen, Yun Lan, Xiaozhen Yuan, Xilong Deng, Yueping Li, Xiaoli Cai, Liya Li, Ruiying He, Yizhou Tan, Xizi Deng, Ming Gao, Guofang Tang, Lingzhai Zhao, Jinlin Wang, Qinghong Fan, Chunyan Wen, Yuwei Tong, Yangbo Tang, Fengyu Hu, Feng Li, Xiaoping Tang

    Published 2020-01-01
    “…Importantly, all of the 6 patients with detectable viral RNA in the blood cohort progressed to severe symptom stage, indicating a strong correlation of serum viral RNA with the disease severity (p-value = 0.0001). …”
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    Optimal diagnostic strategy for coronavirus disease 2019 detection in liver transplant recipients: Critical review of available evidence by Michael T Olson, Tania Triantafyllou, Saurabh Singhal

    Published 2021-01-01
    “…Observations of heightened risk, rapid progression of severe complications, greater infectivity, and potential for atypical disease presentations in transplant recipients underscore the critical importance of establishing an early diagnosis. …”
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    A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification by Amad Zafar, Kwang Su Kim, Muhammad Umair Ali, Jong Hyuk Byun, Jong Hyuk Byun, Seong-Han Kim

    Published 2025-04-01
    “…Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. …”
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    An Embedding-Based Semantic Analysis Approach: A Preliminary Study on Redundancy Detection in Psychological Concepts Operationalized by Scales by Zhen Huang, Yitian Long, Kaiping Peng, Song Tong

    Published 2025-01-01
    “…As psychological research progresses, the issue of concept overlap becomes increasing evident, adding to participant burden and complicating data interpretation. …”
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    Metaheuristic optimizers integrated with vision transformer model for severity detection and classification via multimodal COVID-19 images by V. Padmavathi, Kavitha Ganesan

    Published 2025-04-01
    “…A multi-phase classification strategy refines predictions by progressively distinguishing normal, mild, moderate, and severe COVID-19 cases. …”
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    Curvature Scale Space Corner Detection-Based Registration Algorithm for Infrared and Visible Light Images of Power Equipment by HongYan Han, ZhengGuang Wang, Peng Ding, Nan Liu, ZhenYao Li, ZhanQiang Ru, WenQing Zhu, HeLun Song

    Published 2025-01-01
    “…The methodology establishes a three-stage progressive feature enhancement framework through feature space fusion and adaptive registration mechanisms for multimodal sensing data. …”
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