Humans
Showing 70581 to 70590 of 95995 articles
Living systematic reviews: 2. Combining human and machine effort.
Journal of clinical epidemiology
Sep 11, 2017
New approaches to evidence synthesis, which use human effort and machine automation in mutually reinforcing ways, can enhance the feasibility and sustainability of living systematic reviews. Human effort is a scarce and valuable resource, required wh...
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Design of an extensive information representation scheme for clinical narratives.
Journal of biomedical semantics
Sep 11, 2017
BACKGROUND: Knowledge representation frameworks are essential to the understanding of complex biomedical processes, and to the analysis of biomedical texts that describe them. Combined with natural language processing (NLP), they have the potential t...
Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.
Yearbook of medical informatics
Sep 11, 2017
Natural Language Processing (NLP) methods are increasingly being utilized to mine knowledge from unstructured health-related texts. Recent advances in noisy text processing techniques are enabling researchers and medical domain experts to go beyond ...
Sensor, Signal, and Imaging Informatics.
Yearbook of medical informatics
Sep 11, 2017
To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensor...
New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems.
Computational intelligence and neuroscience
Sep 11, 2017
Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm, namely, dandelion algorithm (DA), is proposed for global optimization of complex functions in this paper. In DA, the dandelion population will be divided into two...
Continuous robust sound event classification using time-frequency features and deep learning.
PloS one
Sep 11, 2017
The automatic detection and recognition of sound events by computers is a requirement for a number of emerging sensing and human computer interaction technologies. Recent advances in this field have been achieved by machine learning classifiers worki...
Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.
NeuroImage. Clinical
Sep 10, 2017
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can be assessed by dopamine transporter imaging such as FP-CIT SPECT. Until now, imaging has been routinely interpreted by human though it can show interobserver va...
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning.
Brain and language
Sep 9, 2017
Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiological mechanisms underlying this impairment are poorly understood but may indicate a structural disorganization of broadly distributed neuronal networks ...
Big Data and Machine Learning: A Resident's Perspective of the 2016 Intersociety Conference.
Journal of the American College of Radiology : JACR
Sep 9, 2017
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A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women.
Osteoarthritis and cartilage
Sep 9, 2017
OBJECTIVE: Knee osteoarthritis (OA) is among the higher contributors to global disability. Despite its high prevalence, currently, there is no cure for this disease. Furthermore, the available diagnostic approaches have large precision errors and low...
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