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Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Annual review of public health
The digital world is generating data at a staggering and still increasing rate. While these "big data" have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores se...

Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Journal of forensic and legal medicine
OBJECTIVES: Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature ...

A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical Named Entity Recognition (NER) is a critical task for extracting important patient information from clinical text to support clinical and translational research. This study explored the neural word embeddings derived from a large unlabeled c...

Building integrated ontological knowledge structures with efficient approximation algorithms.

BioMed research international
The integration of ontologies builds knowledge structures which brings new understanding on existing terminologies and their associations. With the steady increase in the number of ontologies, automatic integration of ontologies is preferable over ma...

A tuberculosis ontology for host systems biology.

Tuberculosis (Edinburgh, Scotland)
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a mea...

The Human Phenotype Ontology: Semantic Unification of Common and Rare Disease.

American journal of human genetics
The Human Phenotype Ontology (HPO) is widely used in the rare disease community for differential diagnostics, phenotype-driven analysis of next-generation sequence-variation data, and translational research, but a comparable resource has not been ava...

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

Applied clinical informatics
UNLABELLED: Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system sh...

A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To create a multilingual gold-standard corpus for biomedical concept recognition.

Self-training in significance space of support vectors for imbalanced biomedical event data.

BMC bioinformatics
BACKGROUND: Pairwise relationships extracted from biomedical literature are insufficient in formulating biomolecular interactions. Extraction of complex relations (namely, biomedical events) has become the main focus of the text-mining community. How...