Constructing a knowledge-based heterogeneous information graph for medical health status classification

scientific article published on 14 February 2020

Constructing a knowledge-based heterogeneous information graph for medical health status classification is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/hisas/PhamTZY20
P356DOI10.1007/S13755-020-0100-6
P932PMC publication ID7021844
P698PubMed publication ID32117570

P50authorThuan PhamQ89966586
P2093author name stringJi Zhang
Jianming Yong
Xiaohui Tao
P2860cites workA dynamic network approach for the study of human phenotypesQ21145365
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysisQ28656396
Improving data and knowledge management to better integrate health care and research.Q30652067
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysisQ30937496
Finding UMLS Metathesaurus concepts in MEDLINE.Q31120213
The "etiome": identification and clustering of human disease etiological factorsQ33407983
Influence of distance between residence and health facilities on non-communicable diseases: An assessment over hypertension and diabetes in BangladeshQ33703616
Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer predictionQ33923020
Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposingQ34761719
Improving information retrieval with multiple health terminologies in a quality-controlled gatewayQ35123679
dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text.Q35146179
Cross-terminology mapping challenges: a demonstration using medication terminological systemsQ35430852
Automated knowledge extraction from the UMLSQ36441578
Automated acquisition of disease drug knowledge from biomedical and clinical documents: an initial studyQ36508511
Generating disease-pertinent treatment vocabularies from MEDLINE citationsQ38384471
Extracting and transforming clinical guidelines into pathway models for different hospital information systemsQ38493193
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk predictionQ38836207
Toward creation of a cancer drug toxicity knowledge base: automatically extracting cancer drug-side effect relationships from the literature.Q41910844
A novel data-driven workflow combining literature and electronic health records to estimate comorbidities burden for a specific disease: a case study on autoimmune comorbidities in patients with celiac diseaseQ41927710
Mining comorbidity patterns using retrospective analysis of big collection of outpatient recordsQ42367731
The Research of Clinical Decision Support System Based on Three-Layer Knowledge Base Model.Q42857089
Cloud based framework for diagnosis of diabetes mellitus using K-means clusteringQ57070311
Construction of a semi-automated ICD-10 coding help system to optimize medical and economic codingQ58062692
Human Disease Ontology 2018 update: classification, content and workflow expansionQ58587067
Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization TechniquesQ88614574
Neural networks for mining the associations between diseases and symptoms in clinical notesQ90767518
Resources for assigning MeSH IDs to Japanese medical termsQ91892544
P433issue1
P304page(s)10
P577publication date2020-02-14
P1433published inHealth Information Science and SystemsQ27726105
P1476titleConstructing a knowledge-based heterogeneous information graph for medical health status classification
P478volume8

Search more.