FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2928090982> ?p ?o ?g. }

• W2928090982 abstract "The amount of patient-related information within clinical information systems accumulates over time, especially in cases where patients suffer from chronic diseases with many hospitalizations and consultations. The diagnosis or problem list is an important feature of the electronic health record, which provides a dynamic account of a patient's current illness and past history. In the case of an Austrian hospital network, problem list entries are limited to fifty characters and are potentially linked to ICD-10. The requirement of producing ICD codes at each hospital stay, together with the length limitation of list items leads to highly redundant problem lists, which conflicts with the physicians' need of getting a good overview of a patient in short time. This paper investigates a method, by which problem list items can be semantically grouped, in order to allow for fast navigation through patient-related topic spaces.We applied a minimal language-dependent preprocessing strategy and mapped problem list entries as tf-idf weighted character 3-grams into a numerical vector space. Based on this representation we used the unweighted pair group method with arithmetic mean (UPGMA) clustering algorithm with cosine distances and inferred an optimal boundary in order to form semantically consistent topic spaces, taking into consideration different levels of dimensionality reduction via latent semantic analysis (LSA).With the proposed clustering approach, evaluated via an intra- and inter-patient scenario in combination with a natural language pipeline, we achieved an average compression rate of 80% of the initial list items forming consistent semantic topic spaces with an F-measure greater than 0.80 in both cases. The average number of identified topics in the intra-patient case (μIntra = 78.4) was slightly lower than in the inter-patient case (μInter = 83.4). LSA-based feature space reduction had no significant positive performance impact in our investigations.The investigation presented here is centered on a data-driven solution to the known problem of information overload, which causes ineffective human-computer interactions at clinicians' work places. This problem is addressed by navigable disease topic spaces where related items are grouped and the topics can be more easily accessed." @default.
• W2928090982 created "2019-04-11" @default.
• W2928090982 creator A5000466743 @default.
• W2928090982 creator A5008738759 @default.
• W2928090982 creator A5024709170 @default.
• W2928090982 creator A5050606261 @default.
• W2928090982 creator A5054870153 @default.
• W2928090982 creator A5064500240 @default.
• W2928090982 creator A5064589865 @default.
• W2928090982 creator A5066046855 @default.
• W2928090982 creator A5071105291 @default.
• W2928090982 date "2019-04-01" @default.
• W2928090982 modified "2023-09-29" @default.
• W2928090982 title "EHR problem list clustering for improved topic-space navigation" @default.
• W2928090982 cites W1550668049 @default.
• W2928090982 cites W1835136410 @default.
• W2928090982 cites W192539577 @default.
• W2928090982 cites W1983578042 @default.
• W2928090982 cites W1987971958 @default.
• W2928090982 cites W2057399436 @default.
• W2928090982 cites W2086672094 @default.
• W2928090982 cites W2096951189 @default.
• W2928090982 cites W2104321900 @default.
• W2928090982 cites W2114388055 @default.
• W2928090982 cites W2139865360 @default.
• W2928090982 cites W2146577751 @default.
• W2928090982 cites W2158997610 @default.
• W2928090982 cites W2165612380 @default.
• W2928090982 cites W2292270531 @default.
• W2928090982 cites W2469314752 @default.
• W2928090982 cites W2514033258 @default.
• W2928090982 cites W2596478722 @default.
• W2928090982 cites W2612374874 @default.
• W2928090982 cites W2626176522 @default.
• W2928090982 cites W2724907332 @default.
• W2928090982 cites W2789244308 @default.
• W2928090982 cites W2963428321 @default.
• W2928090982 cites W2963956191 @default.
• W2928090982 cites W4213009331 @default.
• W2928090982 doi "https://doi.org/10.1186/s12911-019-0789-9" @default.
• W2928090982 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6448176" @default.
• W2928090982 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30943968" @default.
• W2928090982 hasPublicationYear "2019" @default.
• W2928090982 type Work @default.
• W2928090982 sameAs 2928090982 @default.
• W2928090982 citedByCount "5" @default.
• W2928090982 countsByYear W29280909822019 @default.
• W2928090982 countsByYear W29280909822021 @default.
• W2928090982 countsByYear W29280909822023 @default.
• W2928090982 crossrefType "journal-article" @default.
• W2928090982 hasAuthorship W2928090982A5000466743 @default.
• W2928090982 hasAuthorship W2928090982A5008738759 @default.
• W2928090982 hasAuthorship W2928090982A5024709170 @default.
• W2928090982 hasAuthorship W2928090982A5050606261 @default.
• W2928090982 hasAuthorship W2928090982A5054870153 @default.
• W2928090982 hasAuthorship W2928090982A5064500240 @default.
• W2928090982 hasAuthorship W2928090982A5064589865 @default.
• W2928090982 hasAuthorship W2928090982A5066046855 @default.
• W2928090982 hasAuthorship W2928090982A5071105291 @default.
• W2928090982 hasBestOaLocation W29280909821 @default.
• W2928090982 hasConcept C124101348 @default.
• W2928090982 hasConcept C138816342 @default.
• W2928090982 hasConcept C145642194 @default.
• W2928090982 hasConcept C154945302 @default.
• W2928090982 hasConcept C159110408 @default.
• W2928090982 hasConcept C23123220 @default.
• W2928090982 hasConcept C41008148 @default.
• W2928090982 hasConcept C69505689 @default.
• W2928090982 hasConcept C71924100 @default.
• W2928090982 hasConcept C73555534 @default.
• W2928090982 hasConceptScore W2928090982C124101348 @default.
• W2928090982 hasConceptScore W2928090982C138816342 @default.
• W2928090982 hasConceptScore W2928090982C145642194 @default.
• W2928090982 hasConceptScore W2928090982C154945302 @default.
• W2928090982 hasConceptScore W2928090982C159110408 @default.
• W2928090982 hasConceptScore W2928090982C23123220 @default.
• W2928090982 hasConceptScore W2928090982C41008148 @default.
• W2928090982 hasConceptScore W2928090982C69505689 @default.
• W2928090982 hasConceptScore W2928090982C71924100 @default.
• W2928090982 hasConceptScore W2928090982C73555534 @default.
• W2928090982 hasIssue "S3" @default.
• W2928090982 hasLocation W29280909821 @default.
• W2928090982 hasLocation W29280909822 @default.
• W2928090982 hasLocation W29280909823 @default.
• W2928090982 hasLocation W29280909824 @default.
• W2928090982 hasOpenAccess W2928090982 @default.
• W2928090982 hasPrimaryLocation W29280909821 @default.
• W2928090982 hasRelatedWork W157520754 @default.
• W2928090982 hasRelatedWork W1834608617 @default.
• W2928090982 hasRelatedWork W2003127701 @default.
• W2928090982 hasRelatedWork W2101955803 @default.
• W2928090982 hasRelatedWork W2144190808 @default.
• W2928090982 hasRelatedWork W2366644548 @default.
• W2928090982 hasRelatedWork W2376314740 @default.
• W2928090982 hasRelatedWork W2384888906 @default.
• W2928090982 hasRelatedWork W2469626427 @default.
• W2928090982 hasRelatedWork W2954705347 @default.
• W2928090982 hasVolume "19" @default.
• W2928090982 isParatext "false" @default.
• W2928090982 isRetracted "false" @default.

• next