Matches in SemOpenAlex for { <https://semopenalex.org/work/W2981069646> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2981069646 abstract "Medical crowdfunding has seen rapid growth in recent years and it has become a popular channel for people needing financial help. However, there exists large heterogeneity in donations across cases and fundraisers face significant uncertainty in whether their crowdfunding campaigns can meet fundraising goals. We aim to develop novel algorithms to provide accurate and timely predictions of fundraising performance, to better inform fundraisers. For this purpose, we use a combination of machine learning techniques to extract interpretable insights and provide accurate predictions. We start with a model using only the time-invariant features of cases, to provide an immediate evaluation of fundraising performance. Then we analyze the time-varying features from daily observations of case metrics, conduct a multivariate time series clustering and identify four typical temporal donation patterns. Finally, we incorporate the clustering patterns to design a deep learning model that provides daily updated predictions of the total amount of money fundraisers likely receive. Compared with baseline models, our model achieves better accuracy on average and requires a shorter observation window of the time-varying features from the campaign launch to provide robust predictions with high confidence. Our modeling approach can be applied to assist fundraisers’ decisions on promoting their campaigns better and can potentially help crowdfunding platforms design more customized suggestions to improve the chances of success for all cases. The proposed framework is generalizable to apply to other fields with both time-varying and time-invariant information." @default.
- W2981069646 created "2019-10-25" @default.
- W2981069646 creator A5026861109 @default.
- W2981069646 creator A5029158802 @default.
- W2981069646 creator A5038528293 @default.
- W2981069646 creator A5083455588 @default.
- W2981069646 date "2019-01-15" @default.
- W2981069646 modified "2023-10-14" @default.
- W2981069646 title "A Novel Deep Learning Approach to Predicting Medical Crowdfunding Donations" @default.
- W2981069646 hasPublicationYear "2019" @default.
- W2981069646 type Work @default.
- W2981069646 sameAs 2981069646 @default.
- W2981069646 citedByCount "0" @default.
- W2981069646 crossrefType "posted-content" @default.
- W2981069646 hasAuthorship W2981069646A5026861109 @default.
- W2981069646 hasAuthorship W2981069646A5029158802 @default.
- W2981069646 hasAuthorship W2981069646A5038528293 @default.
- W2981069646 hasAuthorship W2981069646A5083455588 @default.
- W2981069646 hasConcept C108583219 @default.
- W2981069646 hasConcept C119857082 @default.
- W2981069646 hasConcept C12725497 @default.
- W2981069646 hasConcept C144133560 @default.
- W2981069646 hasConcept C154945302 @default.
- W2981069646 hasConcept C162324750 @default.
- W2981069646 hasConcept C162853370 @default.
- W2981069646 hasConcept C17744445 @default.
- W2981069646 hasConcept C190470478 @default.
- W2981069646 hasConcept C197352329 @default.
- W2981069646 hasConcept C199539241 @default.
- W2981069646 hasConcept C2522767166 @default.
- W2981069646 hasConcept C2775933685 @default.
- W2981069646 hasConcept C33923547 @default.
- W2981069646 hasConcept C37914503 @default.
- W2981069646 hasConcept C41008148 @default.
- W2981069646 hasConcept C50522688 @default.
- W2981069646 hasConcept C59822182 @default.
- W2981069646 hasConcept C73555534 @default.
- W2981069646 hasConcept C86803240 @default.
- W2981069646 hasConceptScore W2981069646C108583219 @default.
- W2981069646 hasConceptScore W2981069646C119857082 @default.
- W2981069646 hasConceptScore W2981069646C12725497 @default.
- W2981069646 hasConceptScore W2981069646C144133560 @default.
- W2981069646 hasConceptScore W2981069646C154945302 @default.
- W2981069646 hasConceptScore W2981069646C162324750 @default.
- W2981069646 hasConceptScore W2981069646C162853370 @default.
- W2981069646 hasConceptScore W2981069646C17744445 @default.
- W2981069646 hasConceptScore W2981069646C190470478 @default.
- W2981069646 hasConceptScore W2981069646C197352329 @default.
- W2981069646 hasConceptScore W2981069646C199539241 @default.
- W2981069646 hasConceptScore W2981069646C2522767166 @default.
- W2981069646 hasConceptScore W2981069646C2775933685 @default.
- W2981069646 hasConceptScore W2981069646C33923547 @default.
- W2981069646 hasConceptScore W2981069646C37914503 @default.
- W2981069646 hasConceptScore W2981069646C41008148 @default.
- W2981069646 hasConceptScore W2981069646C50522688 @default.
- W2981069646 hasConceptScore W2981069646C59822182 @default.
- W2981069646 hasConceptScore W2981069646C73555534 @default.
- W2981069646 hasConceptScore W2981069646C86803240 @default.
- W2981069646 hasLocation W29810696461 @default.
- W2981069646 hasOpenAccess W2981069646 @default.
- W2981069646 hasPrimaryLocation W29810696461 @default.
- W2981069646 hasRelatedWork W1996871891 @default.
- W2981069646 hasRelatedWork W2201831666 @default.
- W2981069646 hasRelatedWork W2516821356 @default.
- W2981069646 hasRelatedWork W2735714850 @default.
- W2981069646 hasRelatedWork W2745271439 @default.
- W2981069646 hasRelatedWork W2899505792 @default.
- W2981069646 hasRelatedWork W2907000076 @default.
- W2981069646 hasRelatedWork W2988848790 @default.
- W2981069646 hasRelatedWork W2993953619 @default.
- W2981069646 hasRelatedWork W2998360189 @default.
- W2981069646 hasRelatedWork W3001606888 @default.
- W2981069646 hasRelatedWork W3101531962 @default.
- W2981069646 hasRelatedWork W3102891525 @default.
- W2981069646 hasRelatedWork W3118594205 @default.
- W2981069646 hasRelatedWork W3139182479 @default.
- W2981069646 hasRelatedWork W3139531926 @default.
- W2981069646 hasRelatedWork W3159574847 @default.
- W2981069646 hasRelatedWork W3191858159 @default.
- W2981069646 hasRelatedWork W3194487543 @default.
- W2981069646 hasRelatedWork W850644593 @default.
- W2981069646 isParatext "false" @default.
- W2981069646 isRetracted "false" @default.
- W2981069646 magId "2981069646" @default.
- W2981069646 workType "article" @default.