AIMC Topic: Data Mining

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Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In this era of digitized health records, there has been a marked interest in using de-identified patient records for conducting various health related surveys. To assist in this research effort, we developed a novel clinical data represent...
Neural Networks, Computer Deep Learning Natural Language Processing Patient Selection Support Vector Machine Data Mining Clinical Trials as Topic Humans
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Clinical Trials as Topic Electronic Health Records Electronic Data Processing Mental Health Patient Selection Humans Data Mining Natural Language Processing Neural Networks, Computer Machine Learning
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Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Identifying patients who meet selection criteria for clinical trials is typically challenging and time-consuming. In this article, we describe our clinical natural language processing (NLP) system to automatically assess patients' eligibil...
Natural Language Processing Patient Selection Clinical Trials as Topic Data Mining Humans Neural Networks, Computer Deep Learning
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ML-Net: multi-label classification of biomedical texts with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods,...
Computational Biology Natural Language Processing Benchmarking Machine Learning Deep Learning Data Mining Classification Neural Networks, Computer
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Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did n...
Humans Machine Learning Natural Language Processing Pattern Recognition, Automated Patient Selection Clinical Trials as Topic Data Mining
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Optimizing clinical trials recruitment via deep learning.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex and expensive proce...
Insurance Claim Reporting Research Personnel Clinical Trials as Topic Databases, Factual Electronic Health Records Humans Deep Learning Patient Selection Data Mining
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challen...
Humans Machine Learning Patient Readmission Unified Medical Language System Vocabulary, Controlled Natural Language Processing Electronic Health Records Data Mining
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[Automatic keyword retrieval from clinical texts: an application of natural language processing to massive data of Chilean suspected diagnosis].

Revista medica de Chile Oct 1, 2019
BACKGROUND: Free-text imposes a challenge in health data analysis since the lack of structure makes the extraction and integration of information difficult, particularly in the case of massive data. An appropriate machine-interpretation of electronic...
Electronic Data Processing Medical Records Medical Informatics Computing Referral and Consultation Reproducibility of Results Information Storage and Retrieval Humans Diagnostic Techniques and Procedures Time Factors Chile Medicine Natural Language Processing Data Mining
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A new approach and gold standard toward author disambiguation in MEDLINE.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorit...
Crowdsourcing Authorship MEDLINE Databases, Bibliographic Algorithms Machine Learning Reference Standards Data Mining
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NimbleMiner: A Novel Multi-Lingual Text Mining Application.

Studies in health technology and informatics Aug 21, 2019
This demonstration showcase will present a novel open access text mining application called NimbleMiner. NimbleMiner's architecture is language agnostic and it can be potentially applied in multiple languages. The system was applied in a series of re...
Data Mining Language Natural Language Processing
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