Read the transparency note for key phrase extraction to learn about responsible AI use and deployment in your systems. These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons.Īs you use this feature in your applications, see the following reference documentation and samples for Azure Cognitive Services for Language: Development option / languageĪn AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Use the available Docker container to deploy this feature on-premises. For more information, see the key phrase extraction quickstart. Integrate key phrase extraction into your applications using the REST API, or the client library available in a variety of languages. For more information, see the Language Studio website or language studio quickstart. Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. There are two ways to use key phrase extraction: Development option Analysis is performed as-is, with no additional customization to the model used on your data. To use key phrase extraction, you submit raw unstructured text for analysis and handle the API output in your application. Your key and endpoint will be used for authentication. Send the request containing your data as raw unstructured text. You can also send asynchronous calls with a batch request to combine API requests for multiple features into a single call. It will generate a password (called a key) and an endpoint URL that you'll use to authenticate API requests.Ĭreate a request using either the REST API or the client library for C#, Java, JavaScript, and Python. Analysis is performed as-is, with no additional customization to the model used on your data.Ĭreate an Azure Language resource, which grants you access to the features offered by Azure Cognitive Service for Language. To use this feature, you submit data for analysis and handle the API output in your application. How-to guides contain instructions for using the service in more specific or customized ways.Quickstarts are getting-started instructions to guide you through making requests to the service.This documentation contains the following types of articles: For example, in the text " The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: " food" and " wonderful staff". Use key phrase extraction to quickly identify the main concepts in text. Further work is required to develop a triage tool that can be implemented based on emerging and ongoing research and which is acceptable to clinicians.Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. This Delphi study has established consensus among a large group of clinicians involved in the management of major incidents on several key elements of paediatric major incident triage. Whilst positive consensus was reached on the benefits of a single MIT tool across all adult and paediatric age ranges, there was negative consensus in relation to clinical implementation. Positive consensus was reached on rescue breaths in mechanisms associated with hypoxia or asphyxiation, mobility assessment as a crude discriminator and use of adult physiology for older children. Resultsġ11 clinicians completed both rounds 13 of 17 statements reached consensus. A 5-point Likert scale was used to determine consensus, set a priori at 70%. Two-round online Delphi consensus study delivered July 2021–October 2021, including participants from pre-hospital and hospital specialities responsible for triage during paediatric major incidents. This study aimed to derive consensus on key components of paediatric MIT among healthcare professionals responsible for triage during paediatric major incidents. Triage is key to effective management of major incidents, yet there is scarce evidence surrounding the optimal method of paediatric major incident triage (MIT).
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