AIMC Topic: Deep Learning

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Deep learning in clinical natural language processing: a methodical review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative analysis to answer 3 research questions concerning methods, scope, and context of c...

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data.

Bioinformatics (Oxford, England)
MOTIVATION: Cancer subtype classification has the potential to significantly improve disease prognosis and develop individualized patient management. Existing methods are limited by their ability to handle extremely high-dimensional data and by the i...

Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning.

Systematic biology
Reconstructing the phylogenetic relationships between species is one of the most formidable tasks in evolutionary biology. Multiple methods exist to reconstruct phylogenetic trees, each with their own strengths and weaknesses. Both simulation and emp...

[Deep learning network-based recognition and localization of diatom images against complex background].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University
We propose a deep learning network-based method for recognizing and locating diatom targets with interference by complex background in autopsy.The system consisted of two modules: the preliminary positioning module and the accurate positioning module...

[A review on multi-modal human motion representation recognition and its application in orthopedic rehabilitation training].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Human motion recognition (HAR) is the technological base of intelligent medical treatment, sports training, video monitoring and many other fields, and it has been widely concerned by all walks of life. This paper summarized the progress and signific...