AIMC Topic: Information Storage and Retrieval
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Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.
BMC bioinformatics
Jun 13, 2018
BACKGROUND: Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the problem of extraction of Adve...
Automatic classification of radiological reports for clinical care.
Artificial intelligence in medicine
Jun 7, 2018
Radiological reporting generates a large amount of free-text clinical narratives, a potentially valuable source of information for improving clinical care and supporting research. The use of automatic techniques to analyze such reports is necessary t...
A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.
IEEE transactions on neural networks and learning systems
May 10, 2018
Mean square error (MSE) is the most prominent criterion in training neural networks and has been employed in numerous learning problems. In this paper, we suggest a group of novel robust information theoretic backpropagation (BP) methods, as correntr...
Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.
Computer methods and programs in biomedicine
May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Quality reporting that relies on coded administrative data alone may not completely and accurately depict providers' performance. To assess this concern with a test case, we developed and evaluated a natural language processing (NLP) approach to iden...
Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use ...
A Semantic Parsing Method for Mapping Clinical Questions to Logical Forms.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
This paper presents a method for converting natural language questions about structured data in the electronic health record (EHR) into logical forms. The logical forms can then subsequently be converted to EHR-dependent structured queries. The natur...
Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Classifying relations between pairs of medical concepts in clinical texts is a crucial task to acquire empirical evidence relevant to patient care. Due to limited labeled data and extremely unbalanced class distributions, medical relation classificat...
Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. ...
Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence concerning risk factors for suicidality in childhood ASD. Electronic health records (EHRs) can be use...
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