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Pathling: analytics on FHIR
Pathling: analytics on FHIR
Health data analytics is an area that is facing rapid change due to the acceleration of digitization of the health sector,...
Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs
Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs
The Vaccine Ontology (VO) is a biomedical ontology that standardizes vaccine annotation. Errors in VO will affect a multit...
DCSO: towards an ontology for machine-actionable data management plans
DCSO: towards an ontology for machine-actionable data management plans
The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical m...
Performance assessment of ontology matching systems for FAIR data
Performance assessment of ontology matching systems for FAIR data
Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and ...
Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research
Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research
In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important...
Exploiting document graphs for inter sentence relation extraction
Exploiting document graphs for inter sentence relation extraction
Most previous relation extraction (RE) studies have focused on intra sentence relations and have ignored relations that sp...
PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature
PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature
Adverse events induced by drug-drug interactions are a major concern in the United States. Current research is moving towa...
Synthesizing evidence from clinical trials with dynamic interactive argument trees
Synthesizing evidence from clinical trials with dynamic interactive argument trees
Evidence-based medicine propagates that medical/clinical decisions are made by taking into account high-quality evidence, ...
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
The evidence-based medicine paradigm requires the ability to aggregate and compare outcomes of interventions across differ...
SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks
SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks
The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an...
Improving reusability along the data life cycle: a regulatory circuits case study
Improving reusability along the data life cycle: a regulatory circuits case study
In life sciences, there has been a long-standing effort of standardization and integration of reference datasets and datab...
Defining health data elements under the HL7 development framework for metadata management
Defining health data elements under the HL7 development framework for metadata management
Health data from different specialties or domains generallly have diverse formats and meanings, which can cause semantic c...
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma
Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma
Transfer learning is a common practice in image classification with deep learning where the available data is often limite...
A multipurpose TNM stage ontology for cancer registries
A multipurpose TNM stage ontology for cancer registries
Population-based cancer registries are a critical reference source for the surveillance and control of cancer. Cancer regi...
Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction
Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction
Artificial intelligence methods applied to electronic medical records (EMRs) hold the potential to help physicians save ti...
Text mining-based measurement of precision of polysomnographic reports as basis for intervention
Text mining-based measurement of precision of polysomnographic reports as basis for intervention
Text mining can be applied to automate knowledge extraction from unstructured data included in medical reports and generat...
Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation
Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation
Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigations in the wet-lab. Protocols in EL...
Ontology-based identification and prioritization of candidate drugs for epilepsy from literature
Ontology-based identification and prioritization of candidate drugs for epilepsy from literature
Drug repurposing can improve the return of investment as it finds new uses for existing drugs. Literature-based analyses e...
An annotated dataset for extracting gene-melanoma relations from scientific literature
An annotated dataset for extracting gene-melanoma relations from scientific literature
Melanoma is one of the least common but the deadliest of skin cancers. This cancer begins when the genes of a cell suffer ...
Residual refinement for interactive skin lesion segmentation
Residual refinement for interactive skin lesion segmentation
Image segmentation is a difficult and classic problem. It has a wide range of applications, one of which is skin lesion se...
Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
Prefrontal fNIRS-based clinical data analysis of brain functions in individuals abusing different types of drugs
The activation degree of the orbitofrontal cortex (OFC) functional area in drug abusers is directly related to the craving...
An ontology network for Diabetes Mellitus in Mexico
An ontology network for Diabetes Mellitus in Mexico
Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from diabetic patients through monitori...
CIDO ontology updates and secondary analysis of host responses to COVID-19 infection based on ImmPort reports and literature
CIDO ontology updates and secondary analysis of host responses to COVID-19 infection based on ImmPort reports and literature
With COVID-19 still in its pandemic stage, extensive research has generated increasing amounts of data and knowledge. As m...
Linking common human diseases to their phenotypes; development of a resource for human phenomics
Linking common human diseases to their phenotypes; development of a resource for human phenomics
In recent years a large volume of clinical genomics data has become available due to rapid advances in sequencing technolo...
Syntax-based transfer learning for the task of biomedical relation extraction
Syntax-based transfer learning for the task of biomedical relation extraction
Transfer learning aims at enhancing machine learning performance on a problem by reusing labeled data originally designed ...
Toward a systematic conflict resolution framework for ontologies
Toward a systematic conflict resolution framework for ontologies
The ontology authoring step in ontology development involves having to make choices about what subject domain knowledge to...
ResidueFinder: extracting individual residue mentions from protein literature
ResidueFinder: extracting individual residue mentions from protein literature
The revolution in molecular biology has shown how protein function and structure are based on specific sequences of amino ...