AIMC Topic: Disease Progression

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Smooth Bayesian network model for the prediction of future high-cost patients with COPD.

International journal of medical informatics Apr 4, 2019
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute exacerbation events that increase hospitalization rates and healthcare spending. The early identification of future high-cost patients with COPD may ...
Male Middle Aged Machine Learning Risk Assessment Female Disease Progression Humans Hospitalization Bayes Theorem Support Vector Machine Aged Cost of Illness Pulmonary Disease, Chronic Obstructive
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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.

The Lancet. Oncology Apr 2, 2019
BACKGROUND: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly re...
Disease Progression Diagnosis, Computer-Assisted Time Factors Treatment Outcome Magnetic Resonance Imaging Retrospective Studies Female Reproducibility of Results Brain Neoplasms Male Tumor Burden Multicenter Studies as Topic Image Interpretation, Computer-Assisted Randomized Controlled Trials as Topic Automation Clinical Trials, Phase II as Topic Germany Predictive Value of Tests Clinical Trials, Phase III as Topic Workflow Humans Neural Networks, Computer Databases, Factual
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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

Scientific reports Mar 25, 2019
Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 year...
Humans Artificial Intelligence Prognosis Female Renal Insufficiency, Chronic Glomerular Filtration Rate Kidney Function Tests Bayes Theorem Adult Male Middle Aged Disease Progression
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Diagnosing osteoarthritis from T maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.

Osteoarthritis and cartilage Mar 21, 2019
OBJECTIVE: We aim to study to what extent conventional and deep-learning-based T relaxometry patterns are able to distinguish between knees with and without radiographic osteoarthritis (OA).
Magnetic Resonance Imaging Algorithms Pain Measurement Female Osteoarthritis, Knee Aged Cartilage, Articular Humans Sensitivity and Specificity Middle Aged Male Disease Progression Severity of Illness Index Case-Control Studies Deep Learning
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Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.

IEEE journal of biomedical and health informatics Mar 11, 2019
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little post-treatment prognostic information reported. This study proposes a novel neural network based paradigm for accurate prediction of liver SBRT outcomes....
Radiosurgery Kaplan-Meier Estimate Aged, 80 and over Adult Male Middle Aged Disease Progression Deep Learning ROC Curve Liver Neoplasms Liver Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Algorithms Female Aged
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Feasibility of support vector machine learning in age-related macular degeneration using small sample yielding sparse optical coherence tomography data.

Acta ophthalmologica Mar 6, 2019
PURPOSE: A retrospective pilot study is conducted to demonstrate the utility of a novel support vector machine learning (SVML) algorithm in a small three-dimensional (3D) sample yielding sparse optical coherence tomography (spOCT) data for the automa...
Prognosis Retrospective Studies Female Aged Aged, 80 and over Humans Algorithms ROC Curve Imaging, Three-Dimensional Support Vector Machine Follow-Up Studies Tomography, Optical Coherence Male Middle Aged Disease Progression Pilot Projects Time Factors Feasibility Studies Macula Lutea Wet Macular Degeneration
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Random forest prediction of Alzheimer's disease using pairwise selection from time series data.

PloS one Feb 14, 2019
Time-dependent data collected in studies of Alzheimer's disease usually has missing and irregularly sampled data points. For this reason time series methods which assume regular sampling cannot be applied directly to the data without a pre-processing...
Pattern Recognition, Automated Neuroimaging Humans Middle Aged Disease Progression Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Machine Learning Female Aged Aged, 80 and over Male
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Circulating Levels of Soluble Klotho and Fibroblast Growth Factor 23 in Diabetic Patients and Its Association with Early Nephropathy.

Archives of medical research Feb 1, 2019
INTRODUCTION: Diabetic nephropathy is a leading cause of chronic kidney disease (CKD). In diabetes, changes in serum levels of both soluble alpha Klotho (sKL) and fibroblast growth factor 23 (FGF-23) have been associated with CKD progression.
Renal Insufficiency, Chronic Glomerular Filtration Rate Male Humans Mexico Fibroblast Growth Factor-23 Middle Aged Female Fibroblast Growth Factors Klotho Proteins Disease Progression Aged Glucuronidase Diabetes Mellitus, Type 2 Cross-Sectional Studies Diabetic Nephropathies
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Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net.

Academic radiology Jan 31, 2019
RATIONALE AND OBJECTIVES: Breast segmentation using the U-net architecture was implemented and tested in independent validation datasets to quantify fibroglandular tissue volume in breast MRI.
Middle Aged Disease Progression Deep Learning Magnetic Resonance Imaging Breast Breast Density Algorithms Female Young Adult Adult Breast Neoplasms Humans Neural Networks, Computer
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Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.

Medical image analysis Jan 30, 2019
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions. Currently, many multi-task learning approaches have been proposed to predict the disease progression at the earl...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Predictive Value of Tests Alzheimer Disease Female Humans Aged Machine Learning Male Computer Simulation Disease Progression
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