AIMC Topic: Early Diagnosis
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Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.
The Journal of asthma : official journal of the Association for the Care of Asthma
Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy.
Clinical EEG and neuroscience
Jul 11, 2019
. In a previous study, we showed a new EEG processing methodology called Multi-Scale Ranked Organizing Map/Implicit Function As Squashing Time (MS-ROM/IFAST) performing an almost perfect distinction between computerized EEG of Italian children with a...
Application of artificial neural network model in diagnosis of Alzheimer's disease.
BMC neurology
Jul 8, 2019
BACKGROUND: Alzheimer's disease has become a public health crisis globally due to its increasing incidence. The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explo...
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 13, 2019
Knee osteoarthritis (OA) is one major cause of activity limitation and physical disability in older adults. Early detection and intervention can help slow down the OA degeneration. Physicians' grading based on visual inspection is subjective, varied ...
Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification.
Journal of learning disabilities
May 7, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children ...
Swept source optical coherence tomography to early detect multiple sclerosis disease. The use of machine learning techniques.
PloS one
May 6, 2019
OBJECTIVE: To compare axonal loss in ganglion cells detected with swept-source optical coherence tomography (SS-OCT) in eyes of patients with multiple sclerosis (MS) versus healthy controls using different machine learning techniques. To analyze the ...
Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis.
Clinical rheumatology
May 1, 2019
OBJECTIVE: To develop a predictive mathematical model for the early identification of ankylosing spondylitis (AS) based on the medical and pharmacy claims history of patients with and without AS.
A Deep Neural Network-Based Method for Early Detection of Osteoarthritis Using Statistical Data.
International journal of environmental research and public health
Apr 10, 2019
A large number of people suffer from certain types of osteoarthritis, such as knee, hip, and spine osteoarthritis. A correct prediction of osteoarthritis is an essential step to effectively diagnose and prevent severe osteoarthritis. Osteoarthritis i...
Developing neural network models for early detection of cardiac arrest in emergency department.
The American journal of emergency medicine
Apr 7, 2019
BACKGROUND: Automated surveillance for cardiac arrests would be useful in overcrowded emergency departments. The purpose of this study is to develop and test artificial neural network (ANN) classifiers for early detection of patients at risk of cardi...
Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning.
Neural networks : the official journal of the International Neural Network Society
Mar 11, 2019
Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp upward trend in the incidence rate. Recently, early diagnosis of AD employing Electroencephalogram (EEG) as a specific hallmark has been an increasingly signific...
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