Showing 26,741 - 26,760 results of 28,660 for search 'Classification three', query time: 0.41s Refine Results
  1. 26741

    T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

    Published 2025-04-01
    “…Across CRC stages, later stages (III–IV) showed higher clonal diversity (p-value < 0.05) and stage-specific V-J patterns, alongside distinct CDR3 amino acid preferences at N-terminal (positions 1–2) and central positions (positions 5–12). …”
    Get full text
    Article
  2. 26742

    Left atrial stiffness index in the identification of heart failure with preserved ejection fraction by N. E. Shirokov, E. I. Yaroslavskaya, M. D. Kosterin, D. V. Krinochkin, E. A. Gorbatenko, T. N. Enina, N. A. Musikhina

    Published 2024-05-01
    “…According to ROC analysis, the largest area under the curve (AUC), optimal sensitivity and specificity in HFpEF diagnosis were observed in LASI (AUC=0,829, p<0,001; 77,8 and 74,5%, respectively). Lower classification quality was shown by the H2FPEF score (AUC=0,701, p=0,001; 66,7 and 69,1%), while the HFA-PEFF score was not significant in the pretest detection of HFpEF (AUC=0,608, p=0,065; 53,3 and 61,8%).Conclusion. …”
    Get full text
    Article
  3. 26743

    Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening by Hangjing Gao MS, Guanxiang Huang MS, Binhua Dong MS, Ye Li MS, Hongning Cai MD, Xianqian Chen MS, Tingting Jiang MS, Kelvin Stefan Osafo MS, Dabin Liu MS, Jiancui Chen MS, Huihua Ge MS, Diling Pan MS, Huifeng Xue MS, Pengming Sun PhD, MD

    Published 2025-03-01
    “…Females with acetowhite changes on colposcopy, transformation zone (TZ) type II, TZ type III, colposcopic impression of high-grade squamous intraepithelial lesion, or cancer were at a high risk of positive ECC. …”
    Get full text
    Article
  4. 26744

    Comparing Raman Spectroscopy-Based Artificial Intelligence to High-Definition White Light Endoscopy for Endoscopic Diagnosis of Gastric Neoplasia: A Feasibility Proof-of-Concept St... by Tse Kiat Soong, Guo Wei Kim, Daryl Kai Ann Chia, Jimmy Bok Yan So, Jonathan Wei Jie Lee, Asim Shabbbir, Jeffrey Huey Yew Lum, Gwyneth Shook Ting Soon, Khek Yu Ho

    Published 2024-12-01
    “…Objective: To compare the performance of the AI-enabled Raman spectroscopy with that of high-definition white light endoscopy (HD-WLE) for the risk classification of gastric lesions. Methods: This was a randomized double-arm feasibility proof-of-concept trial in which participants with suspected gastric neoplasia underwent endoscopic assessment using either the Raman spectroscopy-based AI (SPECTRA IMDx™) or HD-WLE performed by expert endoscopists. …”
    Get full text
    Article
  5. 26745

    Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade by Zifu Wang, Meng-Hao Li, Patrick Baxter, Olzhas Zhorayev, Jiaxin Wei, Valerie Kovacs, Qiuhan Zhao, Chaowei Yang, Naoru Koizumi

    Published 2025-04-01
    “…Methods This study employed state-of-the-art technologies, including Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-Trained Transformers (GPT) model Llama3.3 from Meta in developing a kidney trade country database. …”
    Get full text
    Article
  6. 26746

    Module Algebra Structures of Non-Standard Quantum Group <i>X</i><sub>q</sub>(<i>A</i><sub>1</sub>) on <inline-formula><math display="inline"><semantics><mrow><mi mathvariant="doubl... by Dong Su

    Published 2025-07-01
    “…The automorphism group of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="double-struck">C</mi><mi>q</mi></msub><mrow><mo>[</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>,</mo><mi>z</mi><mo>]</mo></mrow></mrow></semantics></math></inline-formula> is denoted by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>Aut</mi><mo>(</mo><msub><mi mathvariant="double-struck">C</mi><mi>q</mi></msub><mrow><mo>[</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>,</mo><mi>z</mi><mo>]</mo></mrow><mo>)</mo></mrow></semantics></math></inline-formula>, and we give a complete classification of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>X</mi><mi>q</mi></msub><mrow><mo>(</mo><msub><mi>A</mi><mn>1</mn></msub><mo>)</mo></mrow></mrow></semantics></math></inline-formula>-module algebra structures on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi mathvariant="double-struck">C</mi><mi>q</mi></msub><mrow><mo>[</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>,</mo><mi>z</mi><mo>]</mo></mrow></mrow></semantics></math></inline-formula>, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>K</mi><mn>1</mn></msub><mo>,</mo><msub><mi>K</mi><mn>2</mn></msub><mo>∈</mo><mi>Aut</mi><mrow><mo>(</mo><msub><mi mathvariant="double-struck">C</mi><mi>q</mi></msub><mrow><mo>[</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>,</mo><mi>z</mi><mo>]</mo></mrow><mo>)</mo></mrow></mrow></semantics></math></inline-formula>.…”
    Get full text
    Article
  7. 26747
  8. 26748

    Predictive model for risk of gastric cancer using genetic variants from genome‐wide association studies and high‐evidence meta‐analysis by Lixin Qiu, Xiaofei Qu, Jing He, Lei Cheng, Ruoxin Zhang, Menghong Sun, Yajun Yang, Jiucun Wang, Mengyun Wang, Xiaodong Zhu, Weijian Guo

    Published 2020-10-01
    “…Multifactor dimensionality reduction (MDR) and classification and regression tree (CART) were applied to calculate the effect of high‐order gene‐environment interactions on risk of the cancer. …”
    Get full text
    Article
  9. 26749

    Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally v... by Takayuki Fujii, Koichi Murata, Hirohiko Kohjitani, Akira Onishi, Kosaku Murakami, Masao Tanaka, Wataru Yamamoto, Koji Nagai, Ayaka Yoshikawa, Yuki Etani, Yasutaka Okita, Naofumi Yoshida, Hideki Amuro, Tadashi Okano, Yo Ueda, Takaichi Okano, Ryota Hara, Motomu Hashimoto, Akio Morinobu, Shuichi Matsuda

    Published 2025-03-01
    “…Abstract Background Undifferentiated arthritis (UA) often develops into rheumatoid arthritis (RA), but predicting disease progression from seronegative UA remains challenging because seronegative RA often does not meet the classification criteria. This study aims to build a machine learning (ML) model to predict the progression from seronegative UA to RA using clinical and laboratory parameters. …”
    Get full text
    Article
  10. 26750

    Detection of strawberry bloom phenology based on YOLO-RCMC and flower opening scale by Junquan Zhen, Yuke Wang, Xunhui Liu, Linfan Zhou, Shuqin Yang, Dong Wang

    Published 2025-12-01
    “…In addition, the RCM variants were integrated into the head of the model to reduce classification errors and improve detection accuracy. …”
    Get full text
    Article
  11. 26751

    Concordance in diagnostic testing for respiratory pathogens of bighorn sheep by Daniel P. Walsh, E. Frances Cassirer, Michael D. Bonds, Daniel R. Brown, William H. Edwards, Glen C. Weiser, Mark L. Drew, Robert E. Briggs, Karen A. Fox, Michael W. Miller, Sudarvili Shanthalingam, Subramaniam Srikumaran, Thomas E. Besser

    Published 2016-12-01
    “…Despite differences in testing protocols, median agreement among laboratories and correct classification of controls for most agents was ≥0.80, meeting or exceeding the standard required by federal proficiency testing programs. …”
    Get full text
    Article
  12. 26752
  13. 26753

    The malignant transformation of an atypical angiocentric glioma, MYB-altered by Oumaima Aboubakr, Annika K. Wefers, Volodia Dangouloff-Ros, Alice Métais, Philipp Sievers, Lauren Hasty, Raphaël Saffroy, Gaelle Pierron, Delphine Guillemot, Thomas Samoyeau, Nathalie Boddaert, Jacques Grill, Kevin Beccaria, Thomas Blauwblomme, Pascale Varlet, Arnault Tauziède-Espariat

    Published 2025-07-01
    “…Abstract According to the current World Health Organization classification of central nervous system tumors, the angiocentric glioma (AG) assigned a grade 1, characterized by recurrent MYB fusions. …”
    Get full text
    Article
  14. 26754

    The Diagnostic Value of High-Frequency Ultrasound in Unclarified Lesions at the End of Extremities by Haojie Yang, Na Ni, Weiwei Ren, Qiao Wang, Mengyu Lu, Yincheng Gao, Guanqun Zhang, Yongxian Lai, Yujing Zhao, Lehang Guo, Dandan Shan, Liping Sun

    Published 2025-06-01
    “…For benign lesions (51.0% vs. 18.2%), subungual lesions (40.8% vs. 21.1%), non-subungual lesions (55.6% vs. 17.8%), and common cases (60.9% vs. 20.3%), the diagnostic correct rate of Mode B was also higher than that of Mode A (all <i>p</i> < 0.05). …”
    Get full text
    Article
  15. 26755
  16. 26756

    eGFRCystatin C, difference between eGFRCystatin C and eGFRCre and heart failure: Insight from the NHANES 2001–2002 and Mendelian randomization analysis by Zhiyu Gu, Rui Zhang, Weihong Chang, Hongxuan Fan, Zixuan Dou, Peng Liu, Aman Liu, Boda Zhou

    Published 2024-12-01
    “…In participants without know HF, during a median follow-up of 17.3 years, those in the low eGFRCystatin C or low eGFRdiff groups showed significantly poorer survival. …”
    Get full text
    Article
  17. 26757
  18. 26758

    Factors associated with health-related quality of life in women with paid work at breast cancer diagnosis: a German repeated cross-sectional study over the first five years after p... by Batoul Safieddine, Siegfried Geyer, Stefanie Sperlich, Johannes Beller, Dorothee Noeres

    Published 2025-01-01
    “…Returning to work (RTW) after having been on sick leave was strongly associated with better HRQL as illustrated by higher sum scores for physical (at 3 weeks: ß=6.21; CI:3.36, 9.05; at 6 months: ß=5.40; CI:3.01, 1.80; at 1 year: ß=8.40; CI:5.31, 11.49) and mental wellbeing (at 6 months: ß=6.03; CI:33.25, 8.81; at 1 year: ß=7.71; CI:4.85, 10.58) until 1 year after primary surgery. …”
    Get full text
    Article
  19. 26759

    Features of development and progression of colorectal cancer on a background of ulcerative colitis by I. L. Khalif, V. N. Kashnikov, A. V. Gusev, O. V. Golovenko, K. V. Bolikhov, L. L. Kapuller, A. N. Kuznetsov, A. V. Vasilchenko

    Published 2012-02-01
    “…According to ТNM classification tumor at Т4 stage was revealed in 48 (73,8%) patients, Т3 – in 15 (23,1%), Т2 – in 2 (3,1%); N0 – in 56 (86,2%), N + in 9 (13,8%). …”
    Get full text
    Article
  20. 26760