Publicação
Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
| dc.contributor.advisor | Zejnilović, Leid | |
| dc.contributor.advisor | Marinho, Zita | |
| dc.contributor.author | Silva, Ricardo Miguel de Sousa Coelho da | |
| dc.date.accessioned | 2020-04-15T12:05:51Z | |
| dc.date.available | 2020-04-15T12:05:51Z | |
| dc.date.issued | 2019-09-04 | |
| dc.description | Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, specialization in Knowledge Management and Business Intelligence | pt_PT |
| dc.description.abstract | There is an ongoing paradigm shift in healthcare, with patients increasingly controlling their own health. Patient Innovation is an excellent example of this shift. Observation of the Patient-innovation platform, the largest repository of Patient Innovations in the world, shows most contributions are published by the platform’s staff. Online search for Patient Innovations is a resource-consuming task for very rare outcomes. A novel system to complement such human effort is proposed in the form of a “News Article Listener” to reduce large sets of news articles to a subset of articles that are likely to describe Patient Innovations. Initial tests reduced a set of 14,977 articles to a subset of 519 articles, from which an operator found 6 Patient Innovations. The importance of this result is further discussed for innovation management and health care. | pt_PT |
| dc.identifier.tid | 202470598 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/96184 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Lead User | pt_PT |
| dc.subject | Patient Innovation | pt_PT |
| dc.subject | Text Classification | pt_PT |
| dc.subject | Natural Language Processing | pt_PT |
| dc.title | Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio (Business Intelligence) | pt_PT |