The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study. [PDF]
da Silva RP, Pazin-Filho A.
europepmc +1 more source
The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing. [PDF]
Deady M +9 more
europepmc +1 more source
Designing a Human-Machine Hybrid Computing System for Unstructured Data\n Analytics [PDF]
Koushik Sinha +3 more
openalex +1 more source
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance. [PDF]
Guo W +5 more
europepmc +1 more source
Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCNA2 variant in neurodevelopmental syndromes. [PDF]
Hully M +9 more
europepmc +1 more source
Comparative Analysis of Utility Measures for Anonymized Data: Structured, Semi-Structured, and Unstructured Information in Microdata [PDF]
Jundong Lee +3 more
openalex +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source

