AIMC Topic: Prevalence
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Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.
Asian journal of psychiatry
Aug 18, 2018
OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression.
Use of Deep Learning to Examine the Association of the Built Environment With Prevalence of Neighborhood Adult Obesity.
JAMA network open
Aug 3, 2018
IMPORTANCE: More than one-third of the adult population in the United States is obese. Obesity has been linked to factors such as genetics, diet, physical activity, and the environment. However, evidence indicating associations between the built envi...
Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study.
Journal of medical Internet research
Jul 9, 2018
BACKGROUND: Dementia is increasing in prevalence worldwide, yet frequently remains undiagnosed, especially in low- and middle-income countries. Population-based surveys represent an underinvestigated source to identify individuals at risk of dementia...
Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.
Computer methods and programs in biomedicine
Jun 6, 2018
BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) c...
Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.
Tuberculosis (Edinburgh, Scotland)
May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Bacteriological Techniques
Adult
Predictive Value of Tests
Male
Sputum
Databases, Factual
Middle Aged
Tuberculosis, Pulmonary
Female
Humans
Mycobacterium tuberculosis
Risk Assessment
Reproducibility of Results
Brazil
Neural Networks, Computer
Risk Factors
Lung
Decision Support Techniques
Young Adult
Prevalence
Diagnosis, Computer-Assisted
Decision Support Systems, Clinical
Mass Screening
Factors associated with dementia in elderly.
Ciencia & saude coletiva
May 18, 2018
We analyzed the factors associated with dementia in the elderly attended at a memory outpatient clinic of the University of Southern Santa Catarina (UNISUL). This is a cross-sectional study with data analysis of medical records from January 2013 to A...
Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.
Autism research : official journal of the International Society for Autism Research
May 7, 2018
Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a m...
Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.
Computer methods and programs in biomedicine
Apr 19, 2018
BACKGROUND AND OBJECTIVE: White matter lesions are non-static brain lesions that have a prevalence rate up to 98% in the elderly population. Because they may be associated with several brain diseases, it is important that they are detected as soon as...
Humans
Pattern Recognition, Automated
Neural Networks, Computer
False Positive Reactions
White Matter
Algorithms
Prevalence
Databases, Factual
Diagnosis, Computer-Assisted
Brain
Deep Learning
Reproducibility of Results
Image Processing, Computer-Assisted
Sensitivity and Specificity
Magnetic Resonance Imaging
An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.
BMC nephrology
Apr 10, 2018
BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data facilitates the management of patients, and is vital for surveillance and research purposes. Ontologies provide a systematic and transparent basis for cli...
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