AIMC Topic: Proportional Hazards Models

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Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.

BJU international Aug 5, 2018
OBJECTIVES: To train and compare machine-learning algorithms with traditional regression analysis for the prediction of early biochemical recurrence after robot-assisted prostatectomy.
Humans Machine Learning Forecasting Prognosis Aged Prostate-Specific Antigen Robotic Surgical Procedures Proportional Hazards Models Prostatectomy Recurrence Male Middle Aged Regression Analysis Area Under Curve Prostatic Neoplasms
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Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Advanced regression and machine learning models can provide personalized risk predictions to support clinical decision-making. We aimed to understand whether modeling methods impact the tendency of calibration to deteriorate as patient populations sh...
Adult Models, Statistical Humans Risk Male Neural Networks, Computer Area Under Curve Hospitals, Veterans Machine Learning Hospital Mortality Calibration Logistic Models Proportional Hazards Models Female United States United States Department of Veterans Affairs
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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.

PLoS computational biology Apr 10, 2018
Artificial neural networks (ANN) are computing architectures with many interconnections of simple neural-inspired computing elements, and have been applied to biomedical fields such as imaging analysis and diagnosis. We have developed a new ANN frame...
High-Throughput Nucleotide Sequencing Survival Analysis Proportional Hazards Models Kaplan-Meier Estimate Databases, Nucleic Acid Neural Networks, Computer Prognosis Female Male Neoplasms Gene Expression Profiling Gene Regulatory Networks Humans Computational Biology Sequence Analysis, RNA Metabolic Networks and Pathways
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Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 20, 2018
BACKGROUND AND PURPOSE: Current prognostic models for soft tissue sarcoma (STS) patients are solely based on staging information. Treatment-related data have not been included to date. Including such information, however, could help to improve these ...
Aged Aged, 80 and over Adult Survival Rate Male Humans Machine Learning Prognosis Retrospective Studies Female Neoplasm Staging Sarcoma Proportional Hazards Models Middle Aged Risk Assessment Disease Progression Cohort Studies Neoadjuvant Therapy
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Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis.

Clinical and translational science Mar 13, 2018
Additional value can be potentially created by applying big data tools to address pharmacometric problems. The performances of machine learning (ML) methods and the Cox regression model were evaluated based on simulated time-to-event data synthesized...
Humans Machine Learning Survival Analysis Datasets as Topic Proportional Hazards Models Pharmacology, Clinical Data Analysis Neoplasms Antineoplastic Agents Big Data Treatment Outcome
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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network.

BMC medical research methodology Feb 26, 2018
BACKGROUND: Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the ...
Outcome Assessment, Health Care Proportional Hazards Models Kaplan-Meier Estimate Humans Neural Networks, Computer Algorithms Precision Medicine
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Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.

Journal of magnetic resonance imaging : JMRI Feb 13, 2018
BACKGROUND: Partin tables represent the most widely used predictive tool for prostate cancer stage at prostatectomy but with potential limitations.
Male Middle Aged Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Area Under Curve Prostatic Neoplasms Biopsy Observer Variation Proportional Hazards Models Software Algorithms Retrospective Studies Reproducibility of Results Aged Humans
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Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

American heart journal Dec 30, 2017
BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than individuals with normal renal function, and more likely to suffer ischemic stroke (IS)/thromboembolism (TE). We investigated the relationship of kidney ...
Disease Progression Comorbidity Severity of Illness Index Cohort Studies Survival Analysis Humans Treatment Outcome Drug Therapy, Combination Retrospective Studies Aged Confidence Intervals Female Aged, 80 and over Renal Insufficiency Male Proportional Hazards Models Middle Aged Glomerular Filtration Rate Risk Assessment Follow-Up Studies Fibrinolytic Agents Anti-Arrhythmia Agents Atrial Fibrillation
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Prognostic Implications of Magnetic Resonance-Derived Quantification in Asymptomatic Patients With Organic Mitral Regurgitation: Comparison With Doppler Echocardiography-Derived Integrative Approach.

Circulation Dec 21, 2017
BACKGROUND: Magnetic resonance imaging (MRI) is an accurate method for the quantitative assessment of organic mitral regurgitation (OMR). The aim of the present study was to compare the discriminative power of MRI quantification and the recommended D...
Humans Area Under Curve Mitral Valve Mitral Valve Insufficiency Proportional Hazards Models Kaplan-Meier Estimate Echocardiography, Doppler Prognosis Male Female Middle Aged Reproducibility of Results Severity of Illness Index Aged ROC Curve Sensitivity and Specificity Magnetic Resonance Imaging
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Optimal adjuvant endocrine treatment of ER+/HER2+ breast cancer patients by age at diagnosis: A population-based cohort study.

European journal of cancer (Oxford, England : 1990) Dec 21, 2017
BACKGROUND: Prior randomised controlled trials on adjuvant hormonal therapy included HER2 patients; however, a differential effect of aromatase inhibitors (AIs) versus tamoxifen (TAM) may have been missed in ER+/HER2+ patients that comprise 7-15% of ...
Age of Onset Receptor, ErbB-2 Proportional Hazards Models Aromatase Inhibitors Kaplan-Meier Estimate Receptors, Estrogen Antineoplastic Agents, Hormonal Chemotherapy, Adjuvant Tamoxifen Breast Neoplasms Middle Aged Cohort Studies Disease-Free Survival Netherlands Humans Female Aged Adult
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