AIMC Topic: Humans

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A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
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Biomedical Research Male Middle Aged Surveys and Questionnaires Adolescent Natural Language Processing Confidentiality New York Informed Consent Information Dissemination Patient Participation Health Personnel Academic Medical Centers Female Young Adult Adult Humans
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Special issue of BMC medical informatics and decision making on health natural language processing.

BMC medical informatics and decision making Apr 4, 2019
Natural Language Processing Medical Informatics Humans Decision Making
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Clinical text classification with rule-based features and knowledge-guided convolutional neural networks.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies hav...
Knowledge Bases Unified Medical Language System Clinical Coding Humans Neural Networks, Computer Deep Learning Obesity Natural Language Processing
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Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Databases as Topic New York Patient Participation Male Deep Learning Surveys and Questionnaires Natural Language Processing Confidentiality Data Anonymization Information Dissemination Humans Female Adult Biomedical Research
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Extracting health-related causality from twitter messages using natural language processing.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In...
Humans Stress, Psychological Causality Social Media Information Storage and Retrieval Sleep Initiation and Maintenance Disorders Text Messaging Natural Language Processing Headache Datasets as Topic
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Natural language processing of radiology reports for identification of skeletal site-specific fractures.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Osteoporosis has become an important public health issue. Most of the population, particularly elderly people, are at some degree of risk of osteoporosis-related fractures. Accurate identification and surveillance of patient populations w...
Humans Radiology Information Storage and Retrieval Aged Algorithms Cohort Studies Electronic Health Records Fractures, Bone Female Natural Language Processing
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Automatic segmentation of levator hiatus from ultrasound images using U-net with dense connections.

Physics in medicine and biology Apr 4, 2019
In this paper, we propose a fully automatic method based on a densely connected convolutional network for the segmentation of the levator hiatus from ultrasound images. A densely connected path is incorporated into a U-net to achieve a deep architect...
Humans Neural Networks, Computer Ultrasonography Pelvic Floor Superficial Back Muscles
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Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain F-FDG PET.

Physics in medicine and biology Apr 4, 2019
Dedicated brain positron emission tomography (PET) devices can provide higher-resolution images with much lower doses compared to conventional whole-body PET systems, which is important to support PET neuroimaging and particularly useful for the diag...
Female Aged Adult Brain Neoplasms Humans Neural Networks, Computer Brain Radiopharmaceuticals Positron-Emission Tomography Fluorodeoxyglucose F18 Neuroimaging Male Middle Aged Image Processing, Computer-Assisted
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Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

PloS one Apr 4, 2019
Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicated that Gene Ontology (GO) functions, especially GO-biological processes, have important effects on the mechanisms and treatments of different diseases...
Databases, Pharmaceutical Pharmacogenomic Testing Etanercept Zinc Compounds Adalimumab Glucosamine Carnosine Databases, Genetic Humans Organometallic Compounds Immunosuppressive Agents Gene Regulatory Networks Gene Ontology Drug Repositioning Genetic Association Studies Myasthenia Gravis Thalidomide
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Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy.

PloS one Apr 4, 2019
Degenerative cervical myelopathy (DCM) is a spinal cord condition that results in progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must consider a large quantity of information relating to disease presentation, imagin...
Humans Machine Learning Prospective Studies Decompression, Surgical Female Spinal Cord Diseases Comorbidity Treatment Outcome Male Predictive Value of Tests Intervertebral Disc Degeneration Middle Aged Postoperative Complications
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