Author: Alistair Martin; Jama Nateqi; Stefanie Gruarin; Nicolas Munsch; Isselmou Abdarahmane; Bernhard Knapp
Title: An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot Document date: 2020_3_26
ID: 52nw9gxq_6
Snippet: Identifying patients presenting with COVID-19 both quickly and efficiently is of utmost importance to digital diagnoses. However, achieving both speed and accuracy simultaneously is remarkably difficult. Short, and therefore quick, questionnaires will typically have low specificity, while conversely, long questionnaires lack efficiency and speed, often containing many questions not pertinent to any given patient. Symptoma's free text search allow.....
Document: Identifying patients presenting with COVID-19 both quickly and efficiently is of utmost importance to digital diagnoses. However, achieving both speed and accuracy simultaneously is remarkably difficult. Short, and therefore quick, questionnaires will typically have low specificity, while conversely, long questionnaires lack efficiency and speed, often containing many questions not pertinent to any given patient. Symptoma's free text search allows quick, efficient, and complex queries of symptom's without constraint to a predefined list of symptoms.
Search related documents:
Co phrase search for related documents- digital diagnosis and text search: 1, 2
- free text search and text search: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
- give patient and identify patient: 1
- identify patient and present identify patient: 1
- identify patient and text search: 1, 2
Co phrase search for related documents, hyperlinks ordered by date