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- W4229079473 abstract "Nowadays, the health recommendation system (HRS) is one of the significant platforms for healthcare services, and it plays a great role in the decision-making process in the area of the healthcare sector. The contribution of several factors in healthcare systems, for instance, diverse specialists and embedded devices, leads IT-based healthcare system to be more complicated and competitive. Also, the utilization of several programming languages, platforms, and the information management system is directed to the constraints in the perfect swap over, incorporation, and reprocess of data through various systems. The research work focuses on the importance of ontology in the field of HRS. In this system, the patient benefits when the medical practitioner is exposed to diverse viewpoints with varied backgrounds of the disease and provides the best recommendation for the patient's health issue. This will give the best knowledge about the disease and the remedy for the patient's medical issues. The proposed system brings a new system, where the patients can search their query to the system when they want to collaborate with expert's knowledge and find the remedy for their issue. This system consists of three phases: query preprocessing, feature selection, and recommendation. Ontology plays a vital role in checking the semantic nature of the query posted by the patient and will give the most relevant solution to the patient." @default.
- W4229079473 created "2022-05-08" @default.
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- W4229079473 date "2022-05-06" @default.
- W4229079473 modified "2023-10-16" @default.
- W4229079473 title "Knowledge‐Driven and Intelligent Computing in Healthcare" @default.
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- W4229079473 doi "https://doi.org/10.1002/9781119792550.ch8" @default.
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