AI Medical Compendium Topic:
Disease Progression

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Temporal Correlation Structure Learning for MCI Conversion Prediction.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Sep 13, 2018
In Alzheimer's research, Mild Cognitive Impairment (MCI) is an important intermediate stage between normal aging and Alzheimer's. How to distinguish MCI samples that finally convert to AD from those do not is an essential problem in the prevention an...
Brain Reproducibility of Results Sensitivity and Specificity Disease Progression Cognitive Dysfunction Cohort Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms
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Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning.

Surgical oncology Sep 10, 2018
Glioblastoma multiforme (GBM) are aggressive brain tumors, which lead to poor overall survival (OS) of patients. OS prediction of GBM patients provides useful information for surgical and treatment planning. Radiomics research attempts at predicting ...
Brain Neoplasms Disease Progression ROC Curve Magnetic Resonance Imaging Models, Statistical Machine Learning Algorithms Prognosis Glioblastoma Survival Rate Humans
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Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.

Journal of biomedical informatics Sep 4, 2018
Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approach to analyzing longitudinal data is to use (generalized) linear mixed-effect models (GLMM). However,...
Adult Disease Progression Diabetes Mellitus, Type 2 Longitudinal Studies Glycated Hemoglobin Humans Machine Learning Algorithms
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Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables.

International journal of medical informatics Aug 28, 2018
BACKGROUND: The present study aims to identify the patients at risk of type 2 diabetes (T2D). There is a body of literature that uses machine learning classification algorithms to predict development of T2D among patients. The current study compares ...
Mass Screening Support Vector Machine Predictive Value of Tests Middle Aged Disease Progression Diabetes Mellitus, Type 2 Logistic Models Humans Neural Networks, Computer Machine Learning Algorithms Female Risk Factors Male
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Sjogren's Syndrome Humans Neural Networks, Computer Decision Support Techniques Predictive Value of Tests Risk Factors Biomarkers Phenotype Principal Component Analysis Aged Prognosis Severity of Illness Index Autoantibodies Male Female Diagnosis, Computer-Assisted Data Mining Middle Aged Reproducibility of Results Lymphoma Serologic Tests Disease Progression Diagnosis, Differential
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Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Aug 8, 2018
PURPOSE: To automatically detect and classify geographic atrophy (GA) in fundus autofluorescence (FAF) images using a deep learning algorithm.
Humans Neural Networks, Computer Aged Sensitivity and Specificity Male Middle Aged Disease Progression Machine Learning Algorithms Female Reproducibility of Results Fluorescein Angiography Geographic Atrophy Diagnosis, Computer-Assisted Tomography, Optical Coherence Fundus Oculi Healthy Volunteers
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Discovering and identifying New York heart association classification from electronic health records.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) class is often used as a measure of a patient's response to CRT. Identifying NYHA class for heart f...
Male Middle Aged Disease Progression Treatment Outcome Humans Natural Language Processing Machine Learning Heart Failure Electronic Health Records Cardiac Resynchronization Therapy Female New York Aged
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A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care.

Journal of biomedical informatics Jul 10, 2018
Ensuring the health and safety of independent-living senior citizens is a growing societal concern. Researchers have developed sensor based systems to monitor senior citizens' Activity of Daily Living (ADL), a set of daily activities that can indicat...
Assisted Living Facilities Health Services for the Aged Deep Learning Data Mining Activities of Daily Living Monitoring, Ambulatory Pattern Recognition, Automated Neural Networks, Computer Algorithms Aged Disease Progression Humans
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Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.

Computers in biology and medicine Jun 28, 2018
Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations in disease progression and clinical outcomes. The advent of next generation sequencing techniques (NGS) has generated data from patients that can be analysed to develop ...
Humans Machine Learning Female Male Disease Progression Transcriptome Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Predictive Value of Tests Models, Biological Kidney Neoplasms Carcinoma, Renal Cell
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Nervous System Diseases Brazil Adrenal Cortex Hormones Arthritis Disease Progression Adult Skin Diseases Humans Lung Diseases Cross-Sectional Studies Proteinuria Gastrointestinal Diseases Creatinine Retrospective Studies Male Heart Diseases Granulomatosis with Polyangiitis Acute Kidney Injury Middle Aged Delayed Diagnosis Female Eye Diseases
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