Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323647344> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4323647344 endingPage "155" @default.
- W4323647344 startingPage "141" @default.
- W4323647344 abstract "The COVID-19 pandemic poses new challenges on pharmaceutical supply chain including the delays and shortages of resources which lead to product backorders. Backorder is a common supply chain problem for pharmaceutical companies which affects inventory management and customer demand. A product is on backorder when the received quantity from the suppliers is less than the quantity ordered. Knowing when a product will be on backorder can help companies effectively plan their inventories, propose alternative solutions, schedule deliveries, and build trust with their customers. In this paper, we investigate two problems. One is how to use machine learning classifiers to predict product backorders for a pharmaceutical distributor. The second problem we focused on is what are the particular challenges and solutions for such task under a pandemic setting. This backorder dataset is different from existing benchmark backorder datasets with very limited features. We discuss our challenges for this task including empirical data pre-processing, feature engineering and understanding the special definitions of backorder under the pandemic situation. We discuss experimental design for predicting algorithm and comparison metrics, and demonstrate through experiments that decision tree algorithm outperforms other algorithms for our particular task. We show through explainable machine learning approaches how to interpret the prediction results." @default.
- W4323647344 created "2023-03-10" @default.
- W4323647344 creator A5028979453 @default.
- W4323647344 creator A5077913728 @default.
- W4323647344 creator A5089722128 @default.
- W4323647344 date "2023-01-01" @default.
- W4323647344 modified "2023-10-17" @default.
- W4323647344 title "Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting" @default.
- W4323647344 cites W2110242546 @default.
- W4323647344 cites W2148143831 @default.
- W4323647344 cites W2155653793 @default.
- W4323647344 cites W2338318698 @default.
- W4323647344 cites W2785674481 @default.
- W4323647344 cites W2911964244 @default.
- W4323647344 cites W2945526235 @default.
- W4323647344 cites W3013891882 @default.
- W4323647344 cites W3044571652 @default.
- W4323647344 cites W3081491601 @default.
- W4323647344 cites W3136633992 @default.
- W4323647344 cites W3175008441 @default.
- W4323647344 cites W4235553193 @default.
- W4323647344 doi "https://doi.org/10.1007/978-3-031-25599-1_11" @default.
- W4323647344 hasPublicationYear "2023" @default.
- W4323647344 type Work @default.
- W4323647344 citedByCount "0" @default.
- W4323647344 crossrefType "book-chapter" @default.
- W4323647344 hasAuthorship W4323647344A5028979453 @default.
- W4323647344 hasAuthorship W4323647344A5077913728 @default.
- W4323647344 hasAuthorship W4323647344A5089722128 @default.
- W4323647344 hasConcept C108713360 @default.
- W4323647344 hasConcept C111919701 @default.
- W4323647344 hasConcept C119857082 @default.
- W4323647344 hasConcept C127413603 @default.
- W4323647344 hasConcept C13280743 @default.
- W4323647344 hasConcept C138885662 @default.
- W4323647344 hasConcept C144133560 @default.
- W4323647344 hasConcept C154945302 @default.
- W4323647344 hasConcept C162853370 @default.
- W4323647344 hasConcept C185798385 @default.
- W4323647344 hasConcept C194051981 @default.
- W4323647344 hasConcept C201995342 @default.
- W4323647344 hasConcept C205649164 @default.
- W4323647344 hasConcept C2524010 @default.
- W4323647344 hasConcept C2776401178 @default.
- W4323647344 hasConcept C2778137410 @default.
- W4323647344 hasConcept C2780451532 @default.
- W4323647344 hasConcept C33923547 @default.
- W4323647344 hasConcept C41008148 @default.
- W4323647344 hasConcept C41895202 @default.
- W4323647344 hasConcept C42475967 @default.
- W4323647344 hasConcept C68387754 @default.
- W4323647344 hasConcept C90673727 @default.
- W4323647344 hasConceptScore W4323647344C108713360 @default.
- W4323647344 hasConceptScore W4323647344C111919701 @default.
- W4323647344 hasConceptScore W4323647344C119857082 @default.
- W4323647344 hasConceptScore W4323647344C127413603 @default.
- W4323647344 hasConceptScore W4323647344C13280743 @default.
- W4323647344 hasConceptScore W4323647344C138885662 @default.
- W4323647344 hasConceptScore W4323647344C144133560 @default.
- W4323647344 hasConceptScore W4323647344C154945302 @default.
- W4323647344 hasConceptScore W4323647344C162853370 @default.
- W4323647344 hasConceptScore W4323647344C185798385 @default.
- W4323647344 hasConceptScore W4323647344C194051981 @default.
- W4323647344 hasConceptScore W4323647344C201995342 @default.
- W4323647344 hasConceptScore W4323647344C205649164 @default.
- W4323647344 hasConceptScore W4323647344C2524010 @default.
- W4323647344 hasConceptScore W4323647344C2776401178 @default.
- W4323647344 hasConceptScore W4323647344C2778137410 @default.
- W4323647344 hasConceptScore W4323647344C2780451532 @default.
- W4323647344 hasConceptScore W4323647344C33923547 @default.
- W4323647344 hasConceptScore W4323647344C41008148 @default.
- W4323647344 hasConceptScore W4323647344C41895202 @default.
- W4323647344 hasConceptScore W4323647344C42475967 @default.
- W4323647344 hasConceptScore W4323647344C68387754 @default.
- W4323647344 hasConceptScore W4323647344C90673727 @default.
- W4323647344 hasLocation W43236473441 @default.
- W4323647344 hasOpenAccess W4323647344 @default.
- W4323647344 hasPrimaryLocation W43236473441 @default.
- W4323647344 hasRelatedWork W1485630101 @default.
- W4323647344 hasRelatedWork W1601417206 @default.
- W4323647344 hasRelatedWork W1979955633 @default.
- W4323647344 hasRelatedWork W2344375897 @default.
- W4323647344 hasRelatedWork W2367720132 @default.
- W4323647344 hasRelatedWork W2380878102 @default.
- W4323647344 hasRelatedWork W2498017833 @default.
- W4323647344 hasRelatedWork W3031360427 @default.
- W4323647344 hasRelatedWork W3119207683 @default.
- W4323647344 hasRelatedWork W646816558 @default.
- W4323647344 isParatext "false" @default.
- W4323647344 isRetracted "false" @default.
- W4323647344 workType "book-chapter" @default.