AIMC Topic: Proportional Hazards Models

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Influence of protein kinase C (PKC) on the prognosis of diabetic nephropathy patients.

International journal of clinical and experimental pathology Nov 1, 2015
AIMS: To investigate the association between protein kinase C (PKC) and the prognosis of patients with diabetic nephropathy (DN).
Kaplan-Meier Estimate Male Humans Protein Kinase C Middle Aged Biomarkers Diabetic Nephropathies Prognosis Immunohistochemistry Female Adult 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.
Reoperation Kaplan-Meier Estimate Recurrence Cardiac Valve Annuloplasty Mitral Valve Prolapse Middle Aged Postoperative Complications Ultrasonography Treatment Outcome Follow-Up Studies Robotics Tertiary Care Centers Humans Mitral Valve Insufficiency Female Proportional Hazards Models Aged Risk Male
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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...
Humans Neural Networks, Computer Algorithms Prognosis Survival Rate Risk Assessment Proportional Hazards Models 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...
Chemotherapy, Adjuvant Carcinoma, Non-Small-Cell Lung Neoplasm Recurrence, Local Prognosis Neoplasm Metastasis Female Proportional Hazards Models Reproducibility of Results Kaplan-Meier Estimate Aged Male Computational Biology Humans Middle Aged Gene Expression Regulation, Neoplastic Gene Expression Profiling Neural Networks, Computer Treatment Outcome Lung Neoplasms Machine Learning Algorithms
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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...
Humans Bayes Theorem Neural Networks, Computer Carcinoma, Ovarian Epithelial Support Vector Machine Cytoreduction Surgical Procedures Decision Trees Algorithms Proportional Hazards Models Ovarian Neoplasms Prognosis Neoplasms, Glandular and Epithelial Predictive Value of Tests Female Area Under Curve Survival Rate ROC Curve
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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...
United States Treatment Outcome Follow-Up Studies Disease-Free Survival Lymphatic Metastasis Humans Robotics Proportional Hazards Models Lymph Node Excision Retrospective Studies Prostatic Neoplasms Prostatectomy Aged Laparoscopy Male Pelvis Middle Aged Neoplasm Recurrence, Local
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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...
Humans Algorithms Phenotype Computer Simulation Polymorphism, Single Nucleotide Multifactorial Inheritance Logistic Models Models, Genetic Linear Models Proportional Hazards Models Multifactor Dimensionality Reduction
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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...
Diabetic Nephropathies Logistic Models Glomerular Filtration Rate Proportional Hazards Models Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged Male Middle Aged Deep Learning Diabetes Mellitus, Type 2
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Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.

Journal of affective disorders Jul 15, 2025
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred...
Humans Machine Learning Female Aged Aged, 80 and over Adolescent Treatment Outcome Regression Analysis Remission Induction Psychotic Disorders Young Adult Adult Male Middle Aged Depressive Disorder, Major Antidepressive Agents Cost of Illness Olanzapine Sertraline Predictive Learning Models Benzodiazepines Sociodemographic Factors Drug Therapy, Combination Antipsychotic Agents Proportional Hazards 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.
Prognosis Retrospective Studies Female Aged Male Humans Cause of Death Coronary Artery Disease Proportional Hazards Models Plaque, Atherosclerotic Middle Aged Vascular Calcification Risk Assessment Computed Tomography Angiography Severity of Illness Index Predictive Value of Tests Coronary Angiography
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