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Sex estimation from sacrum and coccyx with discriminant analyses and neural networks in an equally distributed population by age and sex.
Forensic science international
Sep 12, 2019
Sex estimation is an essential step in the process of the identification of the skeletal remains in forensic anthropology since it reduces the number of possible matches by half. In this study, sex estimation with 21 sacral and coccygeal metric param...
Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation.
IEEE journal of biomedical and health informatics
Sep 11, 2019
With the development of deep learning in medical image analysis, decoding brain states from functional magnetic resonance imaging (fMRI) signals has made significant progress. Previous studies often utilized deep neural networks to automatically clas...
Development and accuracy of an artificial intelligence algorithm for acne grading from smartphone photographs.
Experimental dermatology
Sep 9, 2019
We developed an artificial intelligence algorithm (AIA) for smartphones to determine the severity of facial acne using the GEA scale and to identify different types of acne lesion (comedonal, inflammatory) and postinflammatory hyperpigmentation (PIHP...
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.
BMC medical informatics and decision making
Sep 9, 2019
BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports performed in routine clinical pr...
Clustering suicides: A data-driven, exploratory machine learning approach.
European psychiatry : the journal of the Association of European Psychiatrists
Sep 7, 2019
Methods of suicide have received considerable attention in suicide research. The common approach to differentiate methods of suicide is the classification into "violent" versus "non-violent" method. Interestingly, since the proposition of this dichot...
Nonconvulsive epileptic seizure monitoring with incremental learning.
Computers in biology and medicine
Sep 6, 2019
Nonconvulsive epileptic seizures (NCSz) and nonconvulsive status epilepticus (NCSE) are two neurological entities associated with increment in morbidity and mortality in critically ill patients. In a previous work, we introduced a method which accura...
A probabilistic method to estimate gait kinetics in the absence of ground reaction force measurements.
Journal of biomechanics
Sep 5, 2019
Human joint torques during gait are usually computed using inverse dynamics. This method requires a skeletal model, kinematics and measured ground reaction forces and moments (GRFM). Measuring GRFM is however only possible in a controlled environment...
Machine learning algorithms can classify outdoor terrain types during running using accelerometry data.
Gait & posture
Sep 5, 2019
BACKGROUND: Running is a popular physical activity that benefits health; however, running surface characteristics may influence loading impact and injury risk. Machine learning algorithms could automatically identify running surface from wearable mot...
The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.
Topics in stroke rehabilitation
Sep 4, 2019
: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation move...
Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.
Journal of affective disorders
Sep 4, 2019
BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general hospitals in China leads to possible misdiagnosis. Looking at the symptomatology of first-visit patients with MDD in different mental health services...
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