AIMC Topic: Case-Control Studies
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Using a deep learning network to recognise low back pain in static standing.
Ergonomics
Jul 3, 2018
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognise LBP patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway p...
Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy.
BMC bioinformatics
Jun 21, 2018
BACKGROUND: Spastic cerebral palsy (CP) is a leading cause of physical disability. Most people with spastic CP are born with it, but early diagnosis is challenging, and no current biomarker platform readily identifies affected individuals. The aim of...
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.
Journal of biomedical informatics
Jun 15, 2018
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset risks with Electronic Health Record (EHR) data. While these models demonstrated promising results on relatively small data sets, the generalizability and transfe...
The comparison of pleural fluid TNF-α levels in tuberculous and nontuberculous pleural effusion.
The Indian journal of tuberculosis
Jun 8, 2018
BACKGROUND: Tuberculous pleural effusion is the manifestation of Mycobacterium tuberculosis infection in pleura. With existing means, it is difficult to establish the diagnosis of tuberculosis (TB) and non-TB pleural effusions; thus, establishing the...
A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.
Metabolomics : Official journal of the Metabolomic Society
May 25, 2018
BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more a...
Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.
The journal of applied laboratory medicine
May 22, 2018
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previous studies have demonstrated increases in plasma cTn because of extreme exercise, including marathon running. We developed an easy-to-use, ultrasensiti...
Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning.
Scientific reports
May 21, 2018
We present a robust deep learning framework for the automatic localisation of cone photoreceptor cells in Adaptive Optics Scanning Light Ophthalmoscope (AOSLO) split-detection images. Monitoring cone photoreceptors with AOSLO imaging grants an excell...
A web-based system for neural network based classification in temporomandibular joint osteoarthritis.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 1, 2018
OBJECTIVE: The purpose of this study is to describe the methodological innovations of a web-based system for storage, integration and computation of biomedical data, using a training imaging dataset to remotely compute a deep neural network classifie...
Assessing Breast Cancer Risk with an Artificial Neural Network.
Asian Pacific journal of cancer prevention : APJCP
Apr 25, 2018
Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast cancer risk. Artificial intelligence and machine learning techniques have been widely applied in detection/recognition of cancer. This study aimed to esta...
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.
BMC systems biology
Apr 24, 2018
BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images are foundational in diagnosis and treatment, especially about pancreas cancer. In practice, the diversity in appearance of pancreas and organs in abd...
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