AIMC Topic: Proportional Hazards Models

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Robotic Mitral Valve Repair for Simple and Complex Degenerative Disease: Midterm Clinical and Echocardiographic Quality Outcomes.

Circulation Oct 19, 2015
BACKGROUND: Severe primary (degenerative) mitral regurgitation (MR) is repaired with durable results when simple single-scallop disease is addressed. The midterm quality outcomes of minimally invasive repair for complex disease are unknown, however.
Recurrence Cardiac Valve Annuloplasty Mitral Valve Prolapse Treatment Outcome Follow-Up Studies Robotics Tertiary Care Centers Mitral Valve Insufficiency Proportional Hazards Models Risk Reoperation Kaplan-Meier Estimate Aged Male Middle Aged Postoperative Complications Ultrasonography Humans Female
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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms.

PloS one Sep 9, 2015
We investigate a new method to place patients into risk groups in censored survival data. Properties such as median survival time, and end survival rate, are implicitly improved by optimizing the area under the survival curve. Artificial neural netwo...
Survival Rate Humans Risk Assessment Neural Networks, Computer Proportional Hazards Models Algorithms Prognosis Risk
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Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer.

Journal of biomedical informatics May 18, 2015
PURPOSE: Adjuvant chemotherapy (ACT) is used after surgery to prevent recurrence or metastases. However, ACT for non-small cell lung cancer (NSCLC) is still controversial. This study aimed to develop prediction models to distinguish who is suitable f...
Kaplan-Meier Estimate Chemotherapy, Adjuvant Middle Aged Gene Expression Profiling Lung Neoplasms Prognosis Computational Biology Treatment Outcome Humans Gene Expression Regulation, Neoplastic Female Carcinoma, Non-Small-Cell Lung Neural Networks, Computer Reproducibility of Results Neoplasm Recurrence, Local Machine Learning Aged Neoplasm Metastasis Algorithms Male Proportional Hazards Models
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Artificial Intelligence Systems as Prognostic and Predictive Tools in Ovarian Cancer.

Annals of surgical oncology Mar 10, 2015
BACKGROUND: The ability to provide accurate prognostic and predictive information to patients is becoming increasingly important as clinicians enter an era of personalized medicine. For a disease as heterogeneous as epithelial ovarian cancer, convent...
Cytoreduction Surgical Procedures Proportional Hazards Models Neoplasms, Glandular and Epithelial Predictive Value of Tests Area Under Curve Humans Bayes Theorem Survival Rate Carcinoma, Ovarian Epithelial ROC Curve Support Vector Machine Neural Networks, Computer Decision Trees Algorithms Ovarian Neoplasms Prognosis Female
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Robotic-assisted pelvic lymph node dissection for prostate cancer: frequency of nodal metastases and oncological outcomes.

World journal of urology Feb 21, 2015
PURPOSE: Limited data are available regarding the oncologic efficacy of pelvic lymph node dissection (PLND) performed during robotic-assisted laparoscopic prostatectomy (RALP) for prostate cancer. We aimed to determine the frequency of pelvic lymph n...
Neoplasm Recurrence, Local Retrospective Studies Disease-Free Survival Aged Humans United States Male Proportional Hazards Models Robotics Treatment Outcome Middle Aged Prostatectomy Prostatic Neoplasms Follow-Up Studies Laparoscopy Lymphatic Metastasis Pelvis Lymph Node Excision
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UGMDR: a unified conceptual framework for detection of multifactor interactions underlying complex traits.

Heredity Oct 22, 2014
Biological outcomes are governed by multiple genetic and environmental factors that act in concert. Determining multifactor interactions is the primary topic of interest in recent genetics studies but presents enormous statistical and mathematical ch...
Phenotype Computer Simulation Polymorphism, Single Nucleotide Logistic Models Models, Genetic Linear Models Proportional Hazards Models Multifactor Dimensionality Reduction Multifactorial Inheritance Humans Algorithms
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The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy. The early identification of individuals at heightened risk of such complications or their exacerbation can be crucial to set a co...
Glomerular Filtration Rate Proportional Hazards Models Retrospective Studies Female Aged Male Middle Aged Humans Deep Learning Neural Networks, Computer Diabetes Mellitus, Type 2 Machine Learning Diabetic Nephropathies Logistic Models
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CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

European heart journal. Cardiovascular Imaging May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Retrospective Studies Female Aged Male Middle Aged Humans Prognosis Coronary Artery Disease Proportional Hazards Models Risk Assessment Plaque, Atherosclerotic Vascular Calcification Severity of Illness Index Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Cause of Death
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Development of time to event prediction models using federated learning.

BMC medical research methodology May 26, 2025
BACKGROUND: In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. However, performing centralized pooling of multiple data sources, while protecting each patients' sensitive data, can ...
Machine Learning Algorithms Computer Simulation Time Factors Models, Statistical Humans Survival Analysis Proportional Hazards Models Hodgkin Disease Federated Learning
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Identification of molecular subtypes and a prognostic signature based on machine learning and purine metabolism-related genes in breast cancer.

Medicine May 23, 2025
Breast cancer (BC), one of the most prevalent malignant tumors worldwide, lacks efficacious diagnostic biomarkers and therapeutic targets. This study harnesses multi-omics data to identify novel purine metabolism-related genes (PMRG) as potential bio...
Machine Learning Prognosis Female Breast Neoplasms Tumor Microenvironment Humans Kaplan-Meier Estimate Purines Biomarkers, Tumor Middle Aged Nomograms Proportional Hazards Models
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