"predicting contractor failure" trang 15 - tải miễn phí từ tailieunhanh
Weather manifested rice cultivation - A review

Weather manifested rice cultivation - A review
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Development and validation of a preoperative nomogram for predicting survival of patients with locally advanced prostate cancer after radical prostatectomy

Development and validation of a preoperative nomogram for predicting survival of patients with locally advanced prostate cancer after radical prostatectomy
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Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer

Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer
9    48    1
Biomarker roles identification of miR-106 family for predicting the risk and poor survival of colorectal cancer

Biomarker roles identification of miR-106 family for predicting the risk and poor survival of colorectal cancer
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Nomogram based on homogeneous and heterogeneous associated factors for predicting bone metastases in patients with different histological types of lung cancer

Nomogram based on homogeneous and heterogeneous associated factors for predicting bone metastases in patients with different histological types of lung cancer
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Nomogram for predicting preoperative lymph node involvement in patients with invasive micropapillary carcinoma of breast: A SEER population-based study

Nomogram for predicting preoperative lymph node involvement in patients with invasive micropapillary carcinoma of breast: A SEER population-based study
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Nomograms for predicting risk of locoregional recurrence and distant metastases for esophageal cancer patients after radical esophagectomy

Nomograms for predicting risk of locoregional recurrence and distant metastases for esophageal cancer patients after radical esophagectomy
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Immunotherapy for non-small cell lung cancers: Biomarkers for predicting responses and strategies to overcome resistance

Immunotherapy for non-small cell lung cancers: Biomarkers for predicting responses and strategies to overcome resistance
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MRI in predicting the response of gastrointestinal stromal tumor to targeted therapy: A patient-based multi-parameter study

MRI in predicting the response of gastrointestinal stromal tumor to targeted therapy: A patient-based multi-parameter study
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Identification of a protein signature for predicting overall survival of hepatocellular carcinoma: A study based on data mining

Identification of a protein signature for predicting overall survival of hepatocellular carcinoma: A study based on data mining
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A nomogram for predicting the likelihood of lymph node metastasis in early gastric patients

A nomogram for predicting the likelihood of lymph node metastasis in early gastric patients
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The effects of lymph node status on predicting outcome in ER+ /HER2- tamoxifen treated breast cancer patients using gene signatures

The effects of lymph node status on predicting outcome in ER+ /HER2- tamoxifen treated breast cancer patients using gene signatures
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A nomogram for predicting pathological complete response in patients with human epidermal growth factor receptor 2 negative breast cancer

A nomogram for predicting pathological complete response in patients with human epidermal growth factor receptor 2 negative breast cancer
9    47    1
On Predicting lung cancer subtypes using ‘omic’ data from tumor and tumor-adjacent histologically-normal tissue

On Predicting lung cancer subtypes using ‘omic’ data from tumor and tumor-adjacent histologically-normal tissue
11    48    1
Optimal staging system for predicting the prognosis of patients with hepatocellular carcinoma in China: A retrospective study

Optimal staging system for predicting the prognosis of patients with hepatocellular carcinoma in China: A retrospective study
9    52    1
Neutrophil-to-lymphocyte ratio and scoring system for predicting coronary artery lesions of Kawasaki disease

Neutrophil-to-lymphocyte ratio and scoring system for predicting coronary artery lesions of Kawasaki disease
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Build machine learning models for that purpose using the Luxstay

Build machine learning models for that purpose using the Luxstay
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Difficulty of predicting the presence of lymph node metastases in patients with clinical early stage gastric cancer: A case control study

Difficulty of predicting the presence of lymph node metastases in patients with clinical early stage gastric cancer: A case control study
9    67    1
Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis

Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis
10    66    1
Nomogram for individually predicting overall survival in rectal neuroendocrine tumours

Nomogram for individually predicting overall survival in rectal neuroendocrine tumours
7    38    1