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Table_3_Machine learning-based identification of colorectal..:
Huijie Wang
;
Xu Cao
;
Ping Meng
...
https://figshare.com/articles/dataset/Table_3_Machine_learning-based_identification_of_colorectal_advanced_adenoma_using_clinical_and_laboratory_data_a_phase_I_exploratory_study_in_accordance_with_updated_World_Endoscopy_Organization_guidelines_for_noninvasive_colorectal_cancer/25272607. , 2024
Link:
https://doi.org/10.3389/fonc.2024.1325514.s003
RT Journal T1 <Title>Table_3_Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.docx</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25272607&Exemplar=1&LAN=DE A1 Huijie Wang A1 Xu Cao A1 Ping Meng A1 Caihua Zheng A1 Jinli Liu A1 Yong Liu A1 Tianpeng Zhang A1 Xiaofang Li A1 Xiaoyang Shi A1 Xiaoxing Sun A1 Teng Zhang A1 Haiying Zuo A1 Zhichao Wang A1 Xin Fu A1 Huan Li A1 Huanwei Zheng YR 2024 K1 Cancer K1 Cancer Cell Biology K1 Cancer Diagnosis K1 Cancer Genetics K1 Cancer Therapy (excl. Chemotherapy and Radiation Therapy) K1 Chemotherapy K1 Haematological Tumours K1 Molecular Targets K1 Radiation Therapy K1 Solid Tumours K1 Oncology and Carcinogenesis not elsewhere classified K1 advanced colorectal adenoma K1 machine learning K1 non-invasive test K1 risk assessment K1 adjustable thresholds JF https://figshare.com/articles/dataset/Table_3_Machine_learning-based_identification_of_colorectal_advanced_adenoma_using_clinical_and_laboratory_data_a_phase_I_exploratory_study_in_accordance_with_updated_World_Endoscopy_Organization_guidelines_for_noninvasive_colorectal_cancer/25272607 LK http://dx.doi.org/https://doi.org/10.3389/fonc.2024.1325514.s003 DO https://doi.org/10.3389/fonc.2024.1325514.s003 SF ELIB - SuUB Bremen
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