AIMC Topic:
Models, Theoretical

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A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning.

Database : the journal of biological databases and curation Jan 1, 2019
The automatic extraction of meaningful relations from biomedical literature or clinical records is crucial in various biomedical applications. Most of the current deep learning approaches for medical relation extraction require large-scale training d...
Medicine, Chinese Traditional Data Mining Algorithms Software Deep Learning Models, Theoretical
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Machine learning approach to literature mining for the genetics of complex diseases.

Database : the journal of biological databases and curation Jan 1, 2019
To generate a parsimonious gene set for understanding the mechanisms underlying complex diseases, we reasoned it was necessary to combine the curation of public literature, review of experimental databases and interpolation of pathway-associated gene...
Models, Theoretical Databases, Genetic Area Under Curve Data Mining Disease Humans Machine Learning ROC Curve
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The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods.

Technology in cancer research & treatment Jan 1, 2019
Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation. Target delineation is time-consuming, and the results can vary depending on the experience ...
Nasopharyngeal Neoplasms Radiotherapy, Image-Guided Humans Neoplasm Grading Organs at Risk Radiotherapy Planning, Computer-Assisted Adult Models, Theoretical Male Neoplasm Staging Middle Aged Female Deep Learning Algorithms Adolescent Aged Tomography, X-Ray Computed Image Processing, Computer-Assisted Young Adult
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Why Open-Endedness Matters.

Artificial life Jan 1, 2019
Rather than acting as a review or analysis of the field, this essay focuses squarely on the motivations for investigating open-endedness and the opportunities it opens up. It begins by contemplating the awesome accomplishments of evolution in nature ...
Computational Biology Models, Theoretical Biological Evolution Artificial Intelligence Algorithms
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On the Potential for Open-Endedness in Neural Networks.

Artificial life Jan 1, 2019
Natural evolution gives the impression of leading to an open-ended process of increasing diversity and complexity. If our goal is to produce such open-endedness artificially, this suggests an approach driven by evolutionary metaphor. On the other han...
Neural Networks, Computer Artificial Intelligence Biological Evolution Models, Theoretical
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Building deep learning models for evidence classification from the open access biomedical literature.

Database : the journal of biological databases and curation Jan 1, 2019
We investigate the application of deep learning to biocuration tasks that involve classification of text associated with biomedical evidence in primary research articles. We developed a large-scale corpus of molecular papers derived from PubMed and P...
Publications Semantics Neural Networks, Computer Deep Learning Models, Theoretical
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Machine-learning-based patient-specific prediction models for knee osteoarthritis.

Nature reviews. Rheumatology Jan 1, 2019
Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current guidelines are not well suited for diagnosing patients in the early stages of disease and do not discriminate patients for whom the disease might progress rapidly. T...
Humans Machine Learning Precision Medicine Aged Aged, 80 and over Male Clinical Decision-Making Female Risk Factors Clinical Decision Rules Data Mining Early Diagnosis Osteoarthritis, Knee Disease Progression Models, Theoretical
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Radiomics with artificial intelligence for precision medicine in radiation therapy.

Journal of radiation research Jan 1, 2019
Recently, the concept of radiomics has emerged from radiation oncology. It is a novel approach for solving the issues of precision medicine and how it can be performed, based on multimodality medical images that are non-invasive, fast and low in cost...
Biopsy Radiotherapy Humans Artificial Intelligence Precision Medicine Biomarkers, Tumor Models, Theoretical
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A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults.

Medicine and science in sports and exercise Dec 1, 2018
INTRODUCTION: Accurately monitoring 24-h movement behaviors is a vital step for progressing the time-use epidemiology field. Past accelerometer-based measurement protocols are either hindered by lack of wear time compliance, or the inability to accur...
Female Models, Theoretical Humans Thigh Sedentary Behavior Adult Male Accelerometry Adolescent Machine Learning Back Middle Aged Child Exercise
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Adversarial Controls for Scientific Machine Learning.

ACS chemical biology Oct 19, 2018
New machine learning methods to analyze raw chemical and biological data are now widely accessible as open-source toolkits. This positions researchers to leverage powerful, predictive models in their own domains. We caution, however, that the applica...
Logic Machine Learning Models, Theoretical
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