Disease Identification From Unstructured User Input
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910588710420480 |
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| author | Faisal, Fahim Bhuiyan, Shafkat Ahmed Kamal, Abu Raihan Mostofa |
| author_facet | Faisal, Fahim Bhuiyan, Shafkat Ahmed Kamal, Abu Raihan Mostofa |
| contents | A method to identify probable diseases from the unstructured textual input (eg, health forum posts) by incorporating a lexicographic and semantic feature based two-phase text classification module and a symptom-disease correlation-based similarity measurement module. One notable aspect of my approach was to develop a competent algorithm to extract all inherent features from the data source to make a better decision. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1905_01987 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Disease Identification From Unstructured User Input Faisal, Fahim Bhuiyan, Shafkat Ahmed Kamal, Abu Raihan Mostofa Information Retrieval Computation and Language A method to identify probable diseases from the unstructured textual input (eg, health forum posts) by incorporating a lexicographic and semantic feature based two-phase text classification module and a symptom-disease correlation-based similarity measurement module. One notable aspect of my approach was to develop a competent algorithm to extract all inherent features from the data source to make a better decision. |
| title | Disease Identification From Unstructured User Input |
| topic | Information Retrieval Computation and Language |
| url | https://arxiv.org/abs/1905.01987 |