AIMC Topic: Knowledge Discovery
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Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches.
BMC bioinformatics
May 21, 2018
BACKGROUND: Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). It can be done using a classif...
A bibliometric analysis of natural language processing in medical research.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance ...
Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined in three stages with stage-3...
Network mirroring for drug repositioning.
BMC medical informatics and decision making
May 18, 2017
BACKGROUND: Although drug discoveries can provide meaningful insights and significant enhancements in pharmaceutical field, the longevity and cost that it takes can be extensive where the success rate is low. In order to circumvent the problem, there...
Publication, discovery and interoperability of Clinical Decision Support Systems: A Linked Data approach.
Journal of biomedical informatics
Jul 8, 2016
BACKGROUND: The high costs involved in the development of Clinical Decision Support Systems (CDSS) make it necessary to share their functionality across different systems and organizations. Service Oriented Architectures (SOA) have been proposed to a...
Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology.
PloS one
Feb 9, 2015
BACKGROUND: In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS).
Learning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Discovering knowledge and effectively predicting target events are two main goals of medical text mining. However, few models can achieve them simultaneously. In this study, we investigated the possibility of discovering knowledge and predicting diag...
Drowning in the literature? These smart software tools can help.
Nature
Sep 1, 2021
Network graph representation of COVID-19 scientific publications to aid knowledge discovery.
BMJ health & care informatics
Jan 1, 2021
INTRODUCTION: Numerous scientific journal articles related to COVID-19 have been rapidly published, making navigation and understanding of relationships difficult.
Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.
Computers, informatics, nursing : CIN
Jan 1, 2020
Massive generation of health-related data has been key in enabling the big data science initiative to gain new insights in healthcare. Nursing can benefit from this era of big data science, as there is a growing need for new discoveries from large qu...
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