AIMC Topic: Data Mining

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Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network.

BMC bioinformatics Dec 11, 2019
BACKGROUND: Computational compound repositioning has the potential for identifying new uses for existing drugs, and new algorithms and data source aggregation strategies provide ever-improving results via in silico metrics. However, even with these a...
Data Mining Disease Algorithms Reproducibility of Results Time Factors Computational Biology Drug Repositioning Knowledge Bases Humans Machine Learning
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Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.

Computer methods and programs in biomedicine Dec 10, 2019
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseas...
Neural Networks, Computer Software Algorithms Humans Data Mining Medical Informatics Pattern Recognition, Automated Electronic Health Records Deep Learning Natural Language Processing Computer Graphics International Classification of Diseases Spain
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An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon...
Neural Networks, Computer Data Mining Attention Electronic Health Records Semantics Humans Language Deep Learning China Natural Language Processing
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Epidemiological Features of Human Brucellosis in Iran (2011-2018) and Prediction of Brucellosis with Data-Mining Models.

Journal of research in health sciences Dec 4, 2019
BACKGROUND: Brucellosis is known as the major zoonotic disease. We aimed to compare the performance of some data-mining models in predicting the monthly brucellosis cases in Iran.
Data Mining Zoonoses Incidence Brucellosis Support Vector Machine Models, Statistical Seasons Iran Animals Male Middle Aged Female Adult Humans
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Designing machine learning workflows with an application to topological data analysis.

PloS one Dec 2, 2019
In this paper we define the concept of the Machine Learning Morphism (MLM) as a fundamental building block to express operations performed in machine learning such as data preprocessing, feature extraction, and model training. Inspired by statistical...
Workflow Data Mining Machine Learning Data Analysis
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Extracting causal relations from the literature with word vector mapping.

Computers in biology and medicine Nov 27, 2019
Causal graphs play an essential role in the determination of causalities and have been applied in many domains including biology and medicine. Traditional causal graph construction methods are usually data-driven and may not deliver the desired accur...
Humans Support Vector Machine Data Mining Semantics
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Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning.

Pharmacology research & perspectives Nov 20, 2019
Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for diabetes whi...
Drug Repositioning Glycated Hemoglobin Data Mining Adrenergic alpha-1 Receptor Antagonists Blood Glucose Diabetes Mellitus, Type 2 Prostatic Hyperplasia Humans Male Machine Learning Big Data Electronic Health Records
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Automated content analysis across six languages.

PloS one Nov 20, 2019
Corpus selection bias in international relations research presents an epistemological problem: How do we know what we know? Most social science research in the field of text analytics relies on English language corpora, biasing our ability to underst...
Bias Data Mining Linguistics Natural Language Processing Translations
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Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.

PloS one Nov 14, 2019
With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant in extracting relevant information. In the current study, we formulated the problem of extractive te...
Natural Language Processing Data Mining Documentation Algorithms Language Semantics Computer Heuristics Records Humans Machine Learning
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Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.

Journal of biomedical semantics Nov 12, 2019
BACKGROUND: Free text in electronic health records (EHR) may contain additional phenotypic information beyond structured (coded) information. For major health events - heart attack and death - there is a lack of studies evaluating the extent to which...
Humans Phenotype United Kingdom Natural Language Processing Electronic Health Records Myocardial Infarction Pilot Projects Data Mining Primary Health Care
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