FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2320742587> ?p ?o ?g. }

• W2320742587 abstract "Abstract Purpose Pharmaceutical industry is tightly regulated owing to health concerns. Over the years, the use of computational intelligence (CI) tools has increased in pharmaceutical research and development, manufacturing, and quality control. Quality characteristics of tablets like tensile strength are important indicators of expected tablet performance. Predictive, yet transparent, CI models which can be analysed for insights into the formulation and development process. Methods This work uses data from a galenical tableting study and computational intelligence methods like decision trees, random forests, fuzzy systems, artificial neural networks, and symbolic regression to establish models for the outcome of tensile strength. Data was divided in training and test fold according to ten fold cross validation scheme and RMSE was used as an evaluation metric. Tree based ensembles and symbolic regression methods are presented as transparent models with extracted rules and mathematical formula, respectively, explaining the CI models in greater detail. Results CI models for tensile strength of tablets based on the formulation design and process parameters have been established. Best models exhibit normalized RMSE of 7 %. Rules from fuzzy systems and random forests are shown to increase transparency of CI models. A mathematical formula generated by symbolic regression is presented as a transparent model. Conclusions CI models explain the variation of tensile strength according to formulation and manufacturing process characteristics. CI models can be further analyzed to extract actionable knowledge making the artificial learning process more transparent and acceptable for use in pharmaceutical quality and safety domains." @default.
• W2320742587 created "2016-06-24" @default.
• W2320742587 creator A5003670581 @default.
• W2320742587 creator A5062943346 @default.
• W2320742587 creator A5067783003 @default.
• W2320742587 creator A5073475814 @default.
• W2320742587 creator A5075251694 @default.
• W2320742587 creator A5080499118 @default.
• W2320742587 date "2016-04-11" @default.
• W2320742587 modified "2023-10-18" @default.
• W2320742587 title "Transparent computational intelligence models for pharmaceutical tableting process" @default.
• W2320742587 cites W1529049134 @default.
• W2320742587 cites W1671614046 @default.
• W2320742587 cites W1767217354 @default.
• W2320742587 cites W1864722563 @default.
• W2320742587 cites W1967869169 @default.
• W2320742587 cites W1972907460 @default.
• W2320742587 cites W1978468083 @default.
• W2320742587 cites W1983612337 @default.
• W2320742587 cites W1990478616 @default.
• W2320742587 cites W1995211784 @default.
• W2320742587 cites W2003881054 @default.
• W2320742587 cites W2007616276 @default.
• W2320742587 cites W2010188685 @default.
• W2320742587 cites W2043081194 @default.
• W2320742587 cites W2043658704 @default.
• W2320742587 cites W2056652543 @default.
• W2320742587 cites W2057435525 @default.
• W2320742587 cites W2065609476 @default.
• W2320742587 cites W2080122036 @default.
• W2320742587 cites W2108980084 @default.
• W2320742587 cites W2118527025 @default.
• W2320742587 cites W2135192465 @default.
• W2320742587 cites W2138191565 @default.
• W2320742587 cites W2167773607 @default.
• W2320742587 cites W2168913787 @default.
• W2320742587 cites W2171825230 @default.
• W2320742587 cites W2216172675 @default.
• W2320742587 cites W2290731772 @default.
• W2320742587 cites W2911964244 @default.
• W2320742587 cites W3016001898 @default.
• W2320742587 cites W4241052719 @default.
• W2320742587 doi "https://doi.org/10.1186/s40294-016-0019-6" @default.
• W2320742587 hasPublicationYear "2016" @default.
• W2320742587 type Work @default.
• W2320742587 sameAs 2320742587 @default.
• W2320742587 citedByCount "8" @default.
• W2320742587 countsByYear W23207425872016 @default.
• W2320742587 countsByYear W23207425872017 @default.
• W2320742587 countsByYear W23207425872021 @default.
• W2320742587 countsByYear W23207425872023 @default.
• W2320742587 crossrefType "journal-article" @default.
• W2320742587 hasAuthorship W2320742587A5003670581 @default.
• W2320742587 hasAuthorship W2320742587A5062943346 @default.
• W2320742587 hasAuthorship W2320742587A5067783003 @default.
• W2320742587 hasAuthorship W2320742587A5073475814 @default.
• W2320742587 hasAuthorship W2320742587A5075251694 @default.
• W2320742587 hasAuthorship W2320742587A5080499118 @default.
• W2320742587 hasBestOaLocation W23207425871 @default.
• W2320742587 hasConcept C105795698 @default.
• W2320742587 hasConcept C111919701 @default.
• W2320742587 hasConcept C119857082 @default.
• W2320742587 hasConcept C124101348 @default.
• W2320742587 hasConcept C127413603 @default.
• W2320742587 hasConcept C13736549 @default.
• W2320742587 hasConcept C139502532 @default.
• W2320742587 hasConcept C139945424 @default.
• W2320742587 hasConcept C152877465 @default.
• W2320742587 hasConcept C154945302 @default.
• W2320742587 hasConcept C169258074 @default.
• W2320742587 hasConcept C2779849058 @default.
• W2320742587 hasConcept C2780233690 @default.
• W2320742587 hasConcept C33923547 @default.
• W2320742587 hasConcept C38652104 @default.
• W2320742587 hasConcept C41008148 @default.
• W2320742587 hasConcept C42360764 @default.
• W2320742587 hasConcept C48921125 @default.
• W2320742587 hasConcept C50644808 @default.
• W2320742587 hasConcept C58166 @default.
• W2320742587 hasConcept C83546350 @default.
• W2320742587 hasConcept C84525736 @default.
• W2320742587 hasConcept C98045186 @default.
• W2320742587 hasConceptScore W2320742587C105795698 @default.
• W2320742587 hasConceptScore W2320742587C111919701 @default.
• W2320742587 hasConceptScore W2320742587C119857082 @default.
• W2320742587 hasConceptScore W2320742587C124101348 @default.
• W2320742587 hasConceptScore W2320742587C127413603 @default.
• W2320742587 hasConceptScore W2320742587C13736549 @default.
• W2320742587 hasConceptScore W2320742587C139502532 @default.
• W2320742587 hasConceptScore W2320742587C139945424 @default.
• W2320742587 hasConceptScore W2320742587C152877465 @default.
• W2320742587 hasConceptScore W2320742587C154945302 @default.
• W2320742587 hasConceptScore W2320742587C169258074 @default.
• W2320742587 hasConceptScore W2320742587C2779849058 @default.
• W2320742587 hasConceptScore W2320742587C2780233690 @default.
• W2320742587 hasConceptScore W2320742587C33923547 @default.
• W2320742587 hasConceptScore W2320742587C38652104 @default.
• W2320742587 hasConceptScore W2320742587C41008148 @default.
• W2320742587 hasConceptScore W2320742587C42360764 @default.
• W2320742587 hasConceptScore W2320742587C48921125 @default.

• next