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Medical Informatics

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Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective.

Artificial intelligence in medicine
BACKGROUND: The initial version of the Arden Syntax for Medical Logic Systems was created to facilitate explicit representation of medical logic in a form that could be easily composed and interpreted by clinical experts in order to facilitate clinic...

Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations.

IEEE/ACM transactions on computational biology and bioinformatics
The problem of constructing classifiers from multiple annotators who provide inconsistent training labels is important and occurs in many application domains. Many existing methods focus on the understanding and learning of the crowd behaviors. Sever...

Tracking medical genetic literature through machine learning.

Molecular genetics and metabolism
There has been remarkable progress in identifying the causes of genetic conditions as well as understanding how changes in specific genes cause disease. Though difficult (and often superficial) to parse, an interesting tension involves emphasis on ba...

Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values.

PloS one
This work is motivated by the needs of predictive analytics on healthcare data as represented by Electronic Medical Records. Such data is invariably problematic: noisy, with missing entries, with imbalance in classes of interests, leading to serious ...

Transformation of Arden Syntax's medical logic modules into ArdenML for a business rules management system.

Artificial intelligence in medicine
INTRODUCTION: Arden Syntax is a Health Level Seven International (HL7) standard language that is used for representing medical knowledge as logic statements. Arden Syntax Markup Language (ArdenML) is a new representation of Arden Syntax based on XML....

Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification.

Journal of biomedical semantics
BACKGROUND: Biomedical event extraction is one of the key tasks in biomedical text mining, supporting various applications such as database curation and hypothesis generation. Several systems, some of which have been applied at a large scale, have be...

Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

IEEE journal of biomedical and health informatics
With the advances of machine learning algorithms and the pervasiveness of network terminals, the online medical prediagnosis system, which can provide the diagnosis of healthcare provider anywhere anytime, has attracted considerable interest recently...

A categorical analysis of coreference resolution errors in biomedical texts.

Journal of biomedical informatics
BACKGROUND: Coreference resolution is an essential task in information extraction from the published biomedical literature. It supports the discovery of complex information by linking referring expressions such as pronouns and appositives to their re...

Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models.

Journal of biomedical informatics
Speculations represent uncertainty toward certain facts. In clinical texts, identifying speculations is a critical step of natural language processing (NLP). While it is a nontrivial task in many languages, detecting speculations in Chinese clinical ...

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.

Applied clinical informatics
OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non-medical reasons including the procurement of home medical equipment, parental education, and the need for children's services. We previously created ...