AI Medical Compendium Journal:
Journal of cancer research and clinical oncology

Showing 51 to 60 of 61 articles

An immune-related gene signature for determining Ewing sarcoma prognosis based on machine learning.

Journal of cancer research and clinical oncology Sep 23, 2020
PURPOSE: Ewing sarcoma (ES) is one of the most common malignant bone tumors in children and adolescents. The immune microenvironment plays an important role in the development of ES. Here, we developed an optimal signature for determining ES patient ...
Female Survival Rate Tumor Microenvironment Biomarkers, Tumor Humans Machine Learning Prognosis Follow-Up Studies Lymphocytes, Tumor-Infiltrating Bone Neoplasms Sarcoma, Ewing Male Gene Expression Profiling Adolescent Gene Expression Regulation, Neoplastic
View on PubMed DOI

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.

Journal of cancer research and clinical oncology Aug 27, 2020
PURPOSE: Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient Boosting (XGBoost) and deep learning based on CT images to predict MVI...
Cohort Studies Liver Neoplasms Carcinoma, Hepatocellular Models, Statistical Disease-Free Survival Neovascularization, Pathologic Microcirculation Female Male Middle Aged Deep Learning Humans Retrospective Studies
View on PubMed DOI

Knowledge transfer as a tool towards improvement of cancer care in low- and middle-income countries. 6th European Roundtable Meeting (ERTM), June 14th, 2019, Berlin, Germany.

Journal of cancer research and clinical oncology Apr 8, 2020
PURPOSE: To identify key factors for the best practice of knowledge transfer from high-income settings to low- and middle-income settings.
Humans Delivery of Health Care Developing Countries Knowledge Bases Quality Improvement Cost of Illness Research Global Health Neoplasms Population Surveillance Developed Countries
View on PubMed DOI

Predictive models for patients with lung carcinomas to identify EGFR mutation status via an artificial neural network based on multiple clinical information.

Journal of cancer research and clinical oncology Dec 5, 2019
PURPOSE: Epidermal growth factor receptor (EGFR) mutation testing has several limitations. Therefore, we built predictive models to determine the EGFR mutation status of patients and guide therapeutic decision-making.
ErbB Receptors Decision Making, Computer-Assisted Middle Aged Lung Neoplasms Mutation Humans Neural Networks, Computer Female Aged Male
View on PubMed DOI

Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.

Journal of cancer research and clinical oncology Nov 30, 2019
PURPOSE: Lung cancer is the commonest cause of cancer deaths worldwide, and its mortality can be reduced significantly by performing early diagnosis and screening. Since the 1960s, driven by the pressing needs to accurately and effectively interpret ...
Algorithms Humans Decision Support Techniques Tomography, X-Ray Computed Image Processing, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Positron-Emission Tomography
View on PubMed DOI

Decision tree algorithm in locally advanced rectal cancer: an example of over-interpretation and misuse of a machine learning approach.

Journal of cancer research and clinical oncology Nov 29, 2019
PURPOSE: To analyse the classification performances of a decision tree method applied to predictor variables in survival outcome in patients with locally advanced rectal cancer (LARC). The aim was to offer a critical analysis to better apply tree-bas...
Decision Trees Rectal Neoplasms Aged Adult Male Middle Aged Humans Machine Learning Female
View on PubMed DOI

Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas.

Journal of cancer research and clinical oncology Feb 4, 2019
PURPOSE: Reliable and accurate predictive models are necessary to drive the success of radiomics. Our aim was to identify the optimal radiomics-based machine learning method for isocitrate dehydrogenase (IDH) genotype prediction in diffuse gliomas.
Aged Magnetic Resonance Imaging Adult Humans Aged, 80 and over Image Interpretation, Computer-Assisted Adolescent Brain Neoplasms Machine Learning Isocitrate Dehydrogenase Young Adult Male Genotype Female Middle Aged Glioma
View on PubMed DOI

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.

Journal of cancer research and clinical oncology Jan 3, 2019
PURPOSE: Oral cancer is a complex wide spread cancer, which has high severity. Using advanced technology and deep learning algorithm early detection and classification are made possible. Medical imaging technique, computer-aided diagnosis and detecti...
Mouth Neoplasms Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Humans Algorithms
View on PubMed DOI

Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Journal of cancer research and clinical oncology May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
Humans Algorithms Machine Learning ErbB Receptors Reproducibility of Results Protein Kinase Inhibitors Cell Line, Tumor Neoplasms Models, Genetic Transcriptome Drug Resistance, Neoplasm
View on PubMed DOI

A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Journal of cancer research and clinical oncology Feb 9, 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.
Multivariate Analysis Aged, 80 and over Prognosis Adult Female Middle Aged Humans Breast Neoplasms Risk Factors Cohort Studies Machine Learning Aged Algorithms Magnetic Resonance Imaging Neoplasm Recurrence, Local
View on PubMed DOI
Popular Topics
Popular Journals