AIMC Topic:
Data Mining
Clear Filters Showing 1381 to 1390 of 1550 articles
Deep learning for healthcare: review, opportunities and challenges.
Briefings in bioinformatics
Nov 27, 2018
Gaining knowledge and actionable insights from complex, high-dimensional and heterogeneous biomedical data remains a key challenge in transforming health care. Various types of data have been emerging in modern biomedical research, including electron...
Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.
Anesthesia and analgesia
Nov 1, 2018
Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical ca...
Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.
Circulation. Cardiovascular quality and outcomes
Oct 1, 2018
Genetic Predisposition to Disease
Computational Biology
Predictive Value of Tests
Genetic Testing
Data Mining
Genetic Variation
High-Throughput Nucleotide Sequencing
Pedigree
Prognosis
Reproducibility of Results
Risk Factors
Risk Assessment
Humans
Machine Learning
Phenotype
Cardiomyopathy, Dilated
Arrhythmogenic Right Ventricular Dysplasia
Cardiomyopathy, Hypertrophic, Familial
Heredity
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2018
We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic models in order to forecast future states, to impute missing data from the past by smoothing, and to i...
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2018
OBJECTIVE: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related ...
Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Atherosclerosis
Oct 1, 2018
BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with monogenic inheritance. Previous data indicated that the heterozygous form occurred in 1:250 people. Based on these reports, around 36,000-40,000 people ...
Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2018
OBJECTIVE: The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring.
Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis.
Neuroinformatics
Oct 1, 2018
How to read Uyghur text from biomedical graphic images is a challenge problem due to the complex layout and cursive writing of Uyghur. In this paper, we propose a system that extracts text from Uyghur biomedical images, and matches the text in a spec...
Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.
Toxicological sciences : an official journal of the Society of Toxicology
Sep 1, 2018
Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute o...
Neural Networks for Prognostication of Patients With Heart Failure.
Circulation. Heart failure
Aug 1, 2018
Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-series data into summary indices. We hypothesized that prognostication could be improved by considering t...
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