Health Quest: A generalized clinical decision support system with multi-label classification
| Autor: | Jawwad Ahmed Shamsi, Shahzeb Khan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multi-label classification
General Computer Science Artificial neural network GPUs Computer science Natural language processing Deep learning Disease Clinical decision support system Data science lcsh:QA75.5-76.95 Big data Structured text Electronic health record Electronic Health Record lcsh:Electronic computers. Computer science |
| Zdroj: | Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 1, Pp 45-53 (2021) |
| ISSN: | 1319-1578 |
| Popis: | We propose Health Quest – a Deep Neural Network based Clinical Decision Support (CDS) system, which helps in diagnosing diseases through a patient’s Electronic Health Record (EHR). Health Quest is unique and distinct from existing CDS systems as it is a generalized system, which is not targeted to diagnosing a specific disease and can detect multiple diseases at a time. It utilizes a patient’s medical and family history and incorporates natural language processing to convert this information in a structured text for further processing. Multi-label classification is used to identify multiple diseases at a time. For improved accuracy and precision, Health Quest has been implemented on GPUs. We evaluate Health Quest on a dataset containing 5000 EHR records, with information of patients suffering from multiple diseases. We present the design and implementation of Health Quest and describe evaluation results. It is anticipated that Health Quest can be highly beneficial in prevention of mis-diagnosis of diseases – a major problem in medical sciences. |
| Databáze: | OpenAIRE |
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