AIMC Topic: Proportional Hazards Models

Clear Filters Showing 131 to 140 of 254 articles

Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes.

BMC medical informatics and decision making Nov 19, 2020
BACKGROUND: Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could aid patient management and allocation of healthcare resources. There are a variety of methods which can be used to develop progno...
Humans Neural Networks, Computer Pandemics COVID-19 Deep Learning Models, Theoretical Coronavirus Infections Proportional Hazards Models London Betacoronavirus Algorithms Female SARS-CoV-2 Male Middle Aged Pneumonia, Viral
View on PubMed DOI

Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Humans Algorithms Confidence Intervals Middle Aged Linear Models Deep Learning Proportional Hazards Models Lung Neoplasms Radiotherapy Dosage Carcinoma, Non-Small-Cell Lung Clinical Trials, Phase III as Topic Heart Statistics, Nonparametric Organs at Risk
View on PubMed DOI

Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer.

JAMA network open Nov 2, 2020
IMPORTANCE: Postoperative chemoradiation is the standard of care for cancers with positive margins or extracapsular extension, but the benefit of chemotherapy is unclear for patients with other intermediate risk features.
Otorhinolaryngologic Surgical Procedures Oropharyngeal Neoplasms Hypopharyngeal Neoplasms Lymph Nodes Female Squamous Cell Carcinoma of Head and Neck Aged Humans Neoplasm Staging Neural Networks, Computer Male Neoplasm Grading Machine Learning Deep Learning Mouth Neoplasms Retrospective Studies Patient Selection Cohort Studies Tumor Burden Logistic Models Chemoradiotherapy, Adjuvant Proportional Hazards Models Radiotherapy, Adjuvant Laryngeal Neoplasms
View on PubMed DOI

Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.

EBioMedicine Oct 8, 2020
BACKGROUND: An artificial intelligence method could accelerate the clinical implementation of tumour-stroma ratio (TSR), which has prognostic relevance in colorectal cancer (CRC). We, therefore, developed a deep learning model for the fully automated...
Immunohistochemistry Proportional Hazards Models Cancer-Associated Fibroblasts Neoplasm Staging Neoplasm Grading Cell Count Stromal Cells Humans Artificial Intelligence Prognosis Retrospective Studies Female Aged Adult Colorectal Neoplasms Tumor Microenvironment Male Middle Aged
View on PubMed DOI

Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice.

BMC medical genomics Sep 21, 2020
BACKGROUND: Colon cancer is one of the leading causes of cancer deaths in the USA and around the world. Molecular level characters, such as gene expression levels and mutations, may provide profound information for precision treatment apart from path...
Humans Machine Learning Prognosis Female Biomarkers, Tumor Male Kaplan-Meier Estimate Gene Expression Regulation, Neoplastic Transcription Factors Colonic Neoplasms Proportional Hazards Models
View on PubMed DOI

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Neurodegenerative Diseases Coronary Artery Disease Sex Factors Proportional Hazards Models Deep Learning Radiography, Thoracic Age Factors Tomography, X-Ray Computed Mortality Radiography Intensive Care Units Emergency Service, Hospital Female Aged Humans Italy SARS-CoV-2 Pulmonary Disease, Chronic Obstructive Artificial Intelligence Hospitalization Male COVID-19 Middle Aged Prognosis Comorbidity Retrospective Studies Severity of Illness Index
View on PubMed DOI

Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

PloS one Aug 19, 2020
STUDY AIM: To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.
Body Mass Index Pancreatic Neoplasms Natural Language Processing Pancreas Smoking Aged Proportional Hazards Models Humans Adult Kaplan-Meier Estimate Retrospective Studies Sensitivity and Specificity Diabetes Complications Tomography, X-Ray Computed Male Pancreatitis, Chronic Female Middle Aged Risk Factors Image Processing, Computer-Assisted
View on PubMed DOI

A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds.

Neural networks : the official journal of the International Neural Network Society Aug 18, 2020
A new robust algorithm based on the explanation method SurvLIME called SurvLIME-KS is proposed for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a small amount of training data or outliers of...
Humans Machine Learning Algorithms Survival Rate Proportional Hazards Models Statistics, Nonparametric
View on PubMed DOI

Development of robust artificial neural networks for prediction of 5-year survival in bladder cancer.

Urologic oncology Jun 24, 2020
PURPOSE: When exploring survival outcomes for patients with bladder cancer, most studies rely on conventional statistical methods such as proportional hazards models. Given the successful application of machine learning to handle big data in many dis...
Male Middle Aged Cohort Studies Time Factors Urinary Bladder Neoplasms Proportional Hazards Models Prognosis Female Aged Aged, 80 and over Humans Survival Rate Neural Networks, Computer Machine Learning
View on PubMed DOI

Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

International journal of radiation oncology, biology, physics May 22, 2020
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...
Middle Aged Steroids Time Factors Pelvic Bones Bone Neoplasms Area Under Curve Kaplan-Meier Estimate Analgesics, Opioid Algorithms Life Expectancy Palliative Care Prognosis Karnofsky Performance Status Humans Blood Cell Count Female Machine Learning Spinal Neoplasms Reproducibility of Results Proportional Hazards Models Male
View on PubMed DOI
Popular Topics
Recent Journals