ELIZA

return kwic search for response out of >500 occurrences
343831 occurrences (No.54 in the rank) during 5 years in the PubMed. [cache]

378) The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature.

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PMID:34112939 DOI:10.1038/s41746-021-00459-8

2021 NPJ digital medicine

* Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases.

- Artificial intelligence (AI) represents a valuable tool that could be widely used to inform clinical and public health decision-making to effectively manage the impacts of a pandemic. The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature. The data synthesis had two parts: an in-depth review of studies that leveraged machine learning (ML) techniques and a limited review of studies that applied traditional modeling approaches. ML applications from the in-depth review were categorized into use cases related to public health and clinical practice, and narratively synthesized. One hundred eighty-three articles met the inclusion criteria for the in-depth review. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment. Data sources and types of ML that were useful varied by use case. The search identified 1167 articles that reported on traditional modeling approaches, which highlighted additional areas where ML could be leveraged for improving the accuracy of estimations or projections. Important ML-based solutions have been developed in response to pandemics, and particularly for COVID-19 but few were optimized for practical application early in the pandemic. These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

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[frequency of next (right) word to response]

(1)170 to	(11)5 rates	(21)2 although	(31)2 profiles
(2)56 null	(12)5 with	(22)2 are	(32)2 regulator
(3)27 and	(13)3 at	(23)2 bias,	(33)2 relationship
(4)21 of	(14)3 bias	(24)2 burden	(34)2 surface
(5)20 in	(15)3 genes	(25)2 compared	(35)2 theory
(6)11 was	(16)3 the	(26)2 curve	(36)2 time
(7)8 that	(17)3 through	(27)2 during	(37)2 when
(8)7 is	(18)3 were	(28)2 from
(9)5 by	(19)2 (UPR)	(29)2 observed
(10)5 rate	(20)2 across	(30)2 our

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--- WordNet output for response --- =>反応, 応答, 返答, 返報, 反響, 答唱句 Overview of noun response The noun response has 7 senses (first 5 from tagged texts) 1. (11) response -- (a result; "this situation developed in response to events in Africa") 2. (11) reaction, response -- (a bodily process occurring due to the effect of some antecedent stimulus or agent; "a bad reaction to the medicine"; "his responses have slowed with age") 3. (6) answer, reply, response -- (a statement (either spoken or written) that is made to reply to a question or request or criticism or accusation; "I waited several days for his answer"; "he wrote replies to several of his critics") 4. (4) reception, response -- (the manner in which something is greeted; "she did not expect the cold reception she received from her superiors") 5. (1) response -- (a phrase recited or sung by the congregation following a versicle by the priest or minister) 6. reply, response -- (the speech act of continuing a conversational exchange; "he growled his reply") 7. response -- (the manner in which an electrical or mechanical device responds to an input signal or a range of input signals) --- WordNet end ---