AIMC Topic: Disease Progression

Clear Filters Showing 591 to 600 of 783 articles

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Brain Female Aged Male Disease Progression Cognitive Dysfunction Humans Positron-Emission Tomography Image Interpretation, Computer-Assisted Datasets as Topic Early Diagnosis Pattern Recognition, Automated Gray Matter ROC Curve Imaging, Three-Dimensional Unsupervised Machine Learning Area Under Curve Alzheimer Disease
View on PubMed DOI

Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study.

The American journal of psychiatry Feb 26, 2016
OBJECTIVE: Despite the multitude of longitudinal neuroimaging studies that have been published, a basic question on the progressive brain loss in schizophrenia remains unaddressed: Does it reflect accelerated aging of the brain, or is it caused by a ...
Aged Young Adult Adult Male Aging Middle Aged Humans Algorithms Brain Female Magnetic Resonance Imaging Models, Biological Schizophrenia Gray Matter Disease Progression Case-Control Studies Adolescent Support Vector Machine Longitudinal Studies
View on PubMed DOI

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

IEEE transactions on neural networks and learning systems Feb 24, 2016
Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time points, various machine learning approaches have been proposed. However, a few of them jointly cons...
Disease Progression Time Factors Alzheimer Disease Datasets as Topic Linear Models Humans Neural Networks, Computer Machine Learning Algorithms Neuroimaging
View on PubMed DOI

Network stratification analysis for identifying function-specific network layers.

Molecular bioSystems Feb 16, 2016
A major challenge of systems biology is to capture the rewiring of biological functions (e.g. signaling pathways) in a molecular network. To address this problem, we proposed a novel computational framework, namely network stratification analysis (Ne...
Cluster Analysis Models, Biological Gene Expression Regulation, Fungal Transcription, Genetic Neural Networks, Computer Algorithms Carcinoma, Hepatocellular Humans Disease Progression Gene Expression Profiling Liver Neoplasms Protein Interaction Maps Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Signal Transduction
View on PubMed DOI

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System.

Computational and mathematical methods in medicine Feb 2, 2016
BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for pre...
Creatine Middle Aged Disease Progression Time Factors Renal Insufficiency, Chronic Software Glomerular Filtration Rate Fuzzy Logic Female Blood Pressure Reproducibility of Results Humans Calcium Aged Artificial Intelligence Phosphorus Adult Expert Systems Male Renal Insufficiency
View on PubMed DOI

Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI.

Journal of neuro-oncology Jan 11, 2016
Differentiation between treatment-related changes and progressive disease (PD) remains a major clinical challenge in the follow-up of patients with high grade brain tumors. The aim of this study was to differentiate between treatment-related changes ...
Tissue Distribution Middle Aged Disease Progression Support Vector Machine Longitudinal Studies Contrast Media Magnetic Resonance Imaging Glioblastoma Neoplasm Grading Young Adult Combined Modality Therapy Adult Tumor Burden Survival Rate Image Interpretation, Computer-Assisted Brain Neoplasms Humans Male Prognosis Female Aged
View on PubMed DOI

Comparison of Clinical Trajectories before Initiation of Renal Replacement Therapy between Diabetic Nephropathy and Nephrosclerosis on the KDIGO Guidelines Heat Map.

Journal of diabetes research Dec 29, 2015
This study investigated differences between the clinical trajectories of diabetic nephropathy and nephrosclerosis using the Kidney Disease: Improving Global Outcomes (KDIGO) heat map and the clinical characteristics between the two diseases at RRT in...
Diabetic Nephropathies Biopsy Adult Kidney Humans Creatinine Glomerular Filtration Rate Male Retrospective Studies Nephrology Kidney Function Tests Middle Aged Renal Replacement Therapy Practice Guidelines as Topic Albuminuria Disease Progression Serum Albumin Female Diabetes Mellitus, Type 2 Nephrosclerosis Aged
View on PubMed DOI

Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients.

Journal of diabetes research Dec 28, 2015
Elevated resting heart rate (RHR) has been associated with increased risk of mortality and cardiovascular events. Limited data are available so far in type 2 diabetic (T2DM) subjects with no study focusing on progressive renal decline specifically. A...
Male Cardiovascular Diseases Middle Aged Disease Progression Time Factors Humans Prospective Studies Heart Rate Female Risk Factors Czech Republic Aged Kaplan-Meier Estimate Diabetes Mellitus, Type 2 Diabetic Nephropathies Kidney Glomerular Filtration Rate Predictive Value of Tests
View on PubMed DOI

Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records.

Journal of diabetes science and technology Dec 20, 2015
BACKGROUND: Application of novel machine learning approaches to electronic health record (EHR) data could provide valuable insights into disease processes. We utilized this approach to build predictive models for progression to prediabetes and type 2...
Humans Machine Learning Retrospective Studies Electronic Health Records Female Risk Factors Adult Male Disease Progression ROC Curve Diabetes Mellitus, Type 2 Area Under Curve Medical Informatics Prediabetic State
View on PubMed DOI

Serial change of C1 inhibitor in patients with sepsis--a preliminary report.

The American journal of emergency medicine Dec 19, 2015
OBJECTIVE: C1 inhibitor (C1INH) regulates not only the complement system but also the plasma kallikrein-kinin, fibrinolytic, and coagulation systems. The biologic activities of C1INH can be divided into the regulation of vascular permeability and ant...
Disease Progression Sepsis Shock, Septic Complement C1 Inactivator Proteins Complement C1 Inhibitor Protein Female Aged Aged, 80 and over Male Middle Aged Humans Prospective Studies Intensive Care Units
View on PubMed DOI
Popular Topics
Recent Journals