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Showing 2,561 - 2,580 results of 2,669 for search '(((("the predictive value") OR ("the prediction value"))) OR ("the reduction value"))', query time: 0.22s Refine Results
  1. 2561

    THE CRITERIA FOR LYMPH NODE METASTATIC DISEASE IN UTERINE CERVIX CANCER PATIENTS BASED ON MRI FINDINGS by E. G. Zhuk, I. A. Kosenko

    Published 2017-03-01
    “…The sensitivity and specificity with a cutoff of ≥0.8cm were 68 % (CI 48.3‑82.9) and 80 % (CI 63.8‑90.3), respectively; the positive and negative predictive values were 71 % and 78 %, respectively; and the accuracy was 75 % (CI 62.7‑84.3). …”
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  2. 2562

    Predicting vaginal delivery after labor induction using machine learning: Development of a multivariable prediction model by Iolanda Ferreira, Joana Simões, João Correia, Ana Luísa Areia

    Published 2025-01-01
    “…Prediction of vaginal delivery obtained good discrimination in the independent validation data (AUROC = 0.794, 95% CI 0.783–0.805), showing high positive and negative predictive values (PPV and NPV) of 0.752 and 0.793, respectively, high specificity (0.910) and sensitivity (0.766). …”
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  3. 2563

    Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

    Published 2025-09-01
    “…All models were externally validated on 1,334 ECGs from another hospital, with performance assessed by area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and predictive values. Results: In external validation, the transfer learning model achieved the highest AUROC (0.903; 95% CI: 0.887-0.918), closely followed by the general model (0.899; 95% CI: 0.883-0.915); the difference was not significant. …”
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  4. 2564
  5. 2565

    Evaluation of low cryptococcal antigen titer as determined by the lateral flow assay in serum and cerebrospinal fluid among HIV-negative patients: a retrospective diagnostic accura... by Xuan Wang, Jia-Hui Cheng, Ling-Hong Zhou, Jun-Hao Zhu, Rui-Ying Wang, Hua-Zhen Zhao, Ying-Kui Jiang, Li-Ping Huang, Ching-Wan Yip, Chun-Xing Que, Min Zhu, Li-Ping Zhu

    Published 2020-03-01
    “…No false-positive cases were identified in patients with low CrAg titers in CSF and all positive predictive values (PPVs) were 100%. Among the cases with low serum CrAg titers, lumbar puncture was performed in 97 patients and positive CSF CrAg titers were reported in 6 patients. …”
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  6. 2566

    The Validation of an Artificial Intelligence-Based Software for the Detection and Numbering of Primary Teeth on Panoramic Radiographs by Heba H. Bakhsh, Dur Alomair, Nada Ahmed AlShehri, Alia U. Alturki, Eman Allam, Sara M. ElKhateeb

    Published 2025-06-01
    “…The AI’s performance was assessed by comparing its output to the ground truth using sensitivity, specificity, predictive values, accuracy, and the Kappa coefficient. …”
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  7. 2567

    Unveiling the pathogenic mechanisms of polyethylene terephthalate-microplastic-driven osteoarthritis and rheumatoid arthritis: PTGS2 signaling hub-oriented toxicity profiling by Jingkai Di, Shuang Wang, Lujia Liu, Keying Rong, Zijian Guo, Yingda Qin, Feida Wang, Chuan Xiang

    Published 2025-09-01
    “…After further screening, two proteins such as AKT1 and four proteins such as NR3C1 have relatively high predictive values in OA and RA respectively. Among them, PTGS2 and PET-MPs are strongly correlated targets causing injuries in OA and RA. …”
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  8. 2568

    Evaluation of AI-Powered Routine Screening of Clinically Acquired cMRIs for Incidental Intracranial Aneurysms by Christina Carina Schmidt, Robert Stahl, Franziska Mueller, Thomas David Fischer, Robert Forbrig, Christian Brem, Hakan Isik, Klaus Seelos, Niklas Thon, Sophia Stoecklein, Thomas Liebig, Johannes Rueckel

    Published 2025-01-01
    “…<b>Results</b>: The algorithm demonstrates high sensitivities (100% for findings >4 mm in diameter), a 17.8% MRA alert rate and positive predictive values of 11.5–43.8% (depending on whether inconclusive findings are considered or not). …”
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  9. 2569

    Application of prediction model based on CT radiomics in prognosis of patients with non-small cell lung cancer by Zefei Peng, Yubo Wang, Yurong Qi, Hao Hu, Yang Fu, Jiageng Li, Wei Li, Zhanxuan Li, Weilian Guo, Chunqi Shen, Jiezhi Jiang, Bin Yang

    Published 2025-08-01
    “…The calibration curve exhibited that the predicted values of the prognostic prediction model agreed well with the actual values. …”
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  10. 2570

    Application of non-invasive prenatal testing for fetal chromosomal disorders in low-risk pregnancies: a follow-up study in central China by Qiuxiang Huang, Qiuxiang Huang, Qiao Xu, Meihuan Chen, Meihuan Chen, Wenli Fan, Hailong Huang, Hailong Huang

    Published 2025-06-01
    “…A total of 572 (95.65%) patients with NIPT-positive results underwent amniocentesis, and 55.77% (319/572) cases were confirmed. The positive predictive values (PPV) for T21, T18, T13, SCAs, RAAs, and CNVs were 87.50%, 60.00%, 34.78%, 58.97%, 32.50%, and 69.70%, respectively, and the PPV for the trisomy was higher than that for the X-monomer in SCAs. …”
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  11. 2571

    Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries:... by Franz E Babl, Simon Craig, Susan M Donath, Meredith L Borland, Natalie Phillips, Amit Kochar, Gavin A Davis, Shane George, Stuart Dalziel, Arjun Rao, Nathan Kuppermann, Stacy Goergen, Sarah Watson, Amanda Williams, Eunicia Tan, Catherine L Wilson, Michelle Davison, Blessy John-Denny, Sonia Singh, Sharon O’Brien, Geoffrey N Askin, Chris J Selman, Julie C Leonard

    Published 2025-05-01
    “…The performance accuracy (sensitivity, specificity, negative and positive predictive values) of three existing CDRs in identifying children with study-defined CSIs and the specific CDR defined outcomes will be determined, along with multiple secondary outcomes including CSI epidemiology, investigations and management of possible CSI.Ethics and dissemination Ethics approval for the study was received from the Royal Children’s Hospital Melbourne Human Research Ethics Committee in Australia (HREC/69436/RCHM-2020) with additional approvals from the New Zealand Human and Disability Ethics Committee and the SingHealth Centralised Institutional Review Board. …”
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  12. 2572

    Utility of serum cytokine testing to differentiate complicated common variable immunodeficiency in resource limited settings by Aditi Jogdand, BS, Karen M. Gilbert, PhD, Joseph S. Hong, BS, Andrew J. Pak, BS, Katherine Liu, BA, Uhuru Kamau, MS, Neha V. Khairnar, MS, MBA, Henry C. Ssemaganda, MD, MS, Daniel DiGiacomo, MD, MPH, Sara Barmettler, MD, MPH, Mei-Sing Ong, PhD, Jocelyn R. Farmer, MD, PhD

    Published 2025-08-01
    “…We assessed the association of cytokine levels with AI disease and immunophenotypes using Wilcoxon test or Spearman correlation, statistically adjusted for multiple testing. We compared predictive values of cytokine levels and lymphocyte subsets, measured by the area under the receiver-operating characteristic curve. …”
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  13. 2573

    Optimising coronary imaging decisions with machine learning: an external validation study by Floor Groepenhoff, Leonard Hofstra, Sophie Heleen Bots, Saskia Haitjema, Imo Hoefer, L. Malin Overmars, Bram van Es, Mark C. H. De Groot, G. Aernout Somsen, I. Igor Tulevski, Hester M. den Ruijter, Wouter W. van Solinge

    Published 2025-05-01
    “…The outcome was defined as the absence of coronary stenosis, identified through text mining of radiology report conclusions, and predictive performance was assessed by negative predictive values (NPVs) and specificities.Results On the training cohort (9298 men (median age 55 years, 73% no coronary stenosis) and 5376 women (median age 59 years, 83% no coronary stenosis)), the algorithms showed NPVs and specificities of 0.95 and 0.14 in men and 0.93 and 0.26 in women, respectively. …”
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  14. 2574

    Optimization of chlorophyll extraction from mulberry leaves using response surface methodology by CHEN Shao-yuan, LÜ Zhen-er, DONG Feng-li, MAO Bi-zeng

    Published 2012-11-01
    “…Under the optimal extraction condition, the chlorophyll productivity was 5.376 mg/g, which was in consistent with the predicted value of 5.451 mg/g.In conclusion, the optimization of chlorophyll extraction by RSM is convenient, feasible and highly efficient.…”
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  15. 2575

    Validation of the arabic version of the edinburgh postnatal depression scale for screening antenatal depression in Oman by Khalood Al-abri, Hana AL Sumri, Mohammed Al-Azri, Divya Kuzhivilayil Yesodharan, Rahma Al Kindi

    Published 2025-07-01
    “…Results The Omani version validation of the EPDS yielded an optimal cut-off score of 11/12 for antenatal depression, with sensitivity, specificity, positive and negative predictive values of 86.30%, 71.37%, 45.65%, and 94.92%, and an area under the curve of 0.85. …”
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  16. 2576

    Exploration of the Clinical Parameters as Predictive Biomarkers and Their Potential Roles in the Regulation of Inflammation in Elderly Septic Patients with Pneumonia by Zhao J, Wang J, Wei B, Liu Y

    Published 2025-06-01
    “…Jingjing Zhao,1 Junyu Wang,2,3 Bing Wei,2,3 Yugeng Liu1– 3 1Department of Infectious Disease and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People’s Republic of China; 2Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People’s Republic of China; 3Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Clinical Center for Medicine in Acute Infection, Capital Medical University, Beijing, 100043, People’s Republic of ChinaCorrespondence: Bing Wei, Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, 5 Jing-Yuan Road, Beijing, 100043, People’s Republic of China, Email dr_weibing@126.com Yugeng Liu, Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, 5 Jing-Yuan Road, Beijing, 100043, People’s Republic of China, Email yugeng_liu@126.comBackground: The lack of knowledge on the characteristics, predictive values and potential roles of the clinical parameters for elderly septic patients with pneumonia hinders the application of precision medicine in sepsis and understanding of the possible mechanisms in the regulation of inflammation.Methods: This study retrospectively studied elderly patients with sepsis, who were admitted to the emergency department of Beijing Chaoyang Hospital between October 2021 and June 2022, according to the sepsis-3.0 diagnostic criteria. …”
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  17. 2577

    Lung Ultrasound Is Accurate for the Diagnosis of High-Altitude Pulmonary Edema: A Prospective Study by Weibo Yang, Yuliang Wang, Zewu Qiu, Xuewen Huang, Maoxia Lv, Bin Liu, Dingzhou Yang, Zhenhan Yang, Tingshan Xie

    Published 2018-01-01
    “…., their sensitivity, specificity, and positive and negative predictive values) were assessed, and the results were compared. …”
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  18. 2578

    Late ventricular potentials in risk assessment of the occurrence of complex ventricular arrhythmia in patients with myocardial infarction and heart failure by Ćosić Zoran, Tavčiovski Dragan, Jovelić Aleksandra, Romanović Radoslav

    Published 2004-01-01
    “…Sensitivity, specificity, positive and negative predictive values of late ventricular potentials and left ventricular ejection fraction for the occurrence of complex ventricular arrhythmias were determined. …”
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  19. 2579

    The Prognostic Value of Platelet-to-Lymphocyte Ratio and Tricuspid Regurgitation Velocity in Patients with Light-Chain Myocardial Amyloidosis by Zhu Y, Gong C, Hu J, Gao T, Feng C, Yang C, Wang Y

    Published 2025-07-01
    “…The likelihood ratio χ 2 test showed that PLR and TRV added predictive values to the Mayo04, Mayo12, and Euro15 models. …”
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  20. 2580

    Childhood respiratory risk profiles associate with lung function and COPD among the old population by Chenyuan Qin, Jian Gao, Xingang Sang, Min Liu, Jue Liu

    Published 2025-12-01
    “…Linear regressions and logistic regressions were used to assess the associations between childhood respiratory risk profiles and lung function, including peak expiratory flow (PEF) value, PEF value <80% of the predicted value and COPD.Results A total of 12,296 participants (5017 males and 7279 females) with an average age of 68 years were recruited. …”
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