Showing 1 - 11 results of 11 for search 'HOSPITALITY TRAINING AND DEVELOPMENT', query time: 0.87s Refine Results
  1. 1
    Development and Validation of a Nomogram for Predicting Bronchopulmonary Dysplasia in Very-Low-Birth-Weight Infants
    “... good discrimination and calibration. The C-index was 0.853 (95% CI: 0.851–0.854) in the training set...”
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    Article
  2. 2
    Development of an Automated Screening System for Retinopathy of Prematurity Using a Deep Neural Network for Wide-Angle Retinal Images
    “... the performance of a deep neural network (DNN) for the automated screening of ROP. The training and test sets came...”
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    Article
  3. 3
    Early skin contact combined with mother’s breastfeeding to shorten the process of premature infants ≤ 30 weeks of gestation to achieve full oral feeding: the study protocol of a randomized controlled trial
    “...Abstract Background Most hospitalized preterm infants experience difficulties in transitioning from...”
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    Article
  4. 4
    Design, reliability, and validity of a portable electronic device based on ergonomics for early screening of adolescent scoliosis
    “... aimed to design, develop, and validate a non-invasive, accurate, portable, fast, and automated tool...”
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    Article
  5. 5
    XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma
    “.... The extreme gradient boosting classifier (XGBoost) was developed using a training set consisting of 137...”
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    Article
  6. 6
    Protein Glycopatterns in Bronchoalveolar Lavage Fluid as Novel Potential Biomarkers for Diagnosis of Lung Cancer
    “... into a training cohort and validation cohort for constructing and verifying the diagnostic models based...”
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    Article
  7. 7
    Prognostic nomogram incorporating inflammatory cytokines for overall survival in patients with aggressive non-Hodgkin's lymphomaResearch in context
    “... with survival time and to develop a prognostic nomogram incorporating inflammatory cytokines in non-Hodgkin...”
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    Article
  8. 8
    Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma
    “...Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free...”
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    Article
  9. 9
    Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma
    “... to develop machine learning models for predicting MB molecular subgroups based on multi-parameter magnetic...”
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    Article
  10. 10
    CancerClock: A DNA Methylation Age Predictor to Identify and Characterize Aging Clock in Pan-Cancer
    “... to screen and train the CancerClock model in normal tissues. The accuracy of CancerClock has proved to be 81...”
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    Article
  11. 11
    A Deep Learning Framework for Identifying Zone I in RetCam Images
    “... is not accurate and subjective by ophthalmologists. To address it, we develop a new deep learning framework...”
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    Article
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