Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine (Record no. 5823)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01740naa a22003497a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 00005823 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | ES-MaONT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211221160753.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200318s2020 xxk |||fst|||i00| 0 eng d |
| 024 ## - OTHER STANDARD IDENTIFIER | |
| Source of number or code | doi |
| Standard number or code | 10.1017/ice.2020.61 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | ES-MaONT |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Rao, Arni S.R. Srinivasa |
| 9 (RLIN) | 4288 |
| 245 10 - TITLE STATEMENT | |
| Title | Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine |
| Statement of responsibility, etc. | / Arni S.R. Srinivasa Rao and Jose A. Vazquez |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | [Cambridge] : |
| Name of publisher, distributor, etc. | Cambridge University Press, |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | [18] p.; |
| Dimensions | 1 documento PDF |
| 336 ## - CONTENT TYPE | |
| Content type term | texto (visual) |
| Source | isbdcontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electrónico |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | recurso en línea |
| Source | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | We are proposing to use machine learning algorithms to be able to improve possible case identifications of COVID-19 more quicker when we use a mobile phone-based web survey. This will also reduce the spread in the susceptible populations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Tecnologías habilitadoras digitales |
| 9 (RLIN) | 18 |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | AI |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | coronavirus |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | artificial intelligence |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | COVID-19 |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | healthcare |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | mobile phone |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | quarantine |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Vazquez, Jose A. |
| 9 (RLIN) | 4289 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Cambridge University Press |
| 9 (RLIN) | 4290 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/7151059680918EF9B8CDBCC4EF19C292/S0899823X20000616a.pdf/identification_of_covid19_can_be_quicker_through_artificial_intelligence_framework_using_a_mobile_phonebased_survey_in_the_populations_when_citiestowns_are_under_quarantine.pdf |
| Nonpublic note | Abierto |
| Public note | Acceso al documento |
| Electronic format type | |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Other/Generic Classification Scheme |
| Koha item type | Artículos |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Koha itemnumber | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Acceso libre online | Colección digital | 6736 | CDO | CDO | 18/03/2020 | 1000020176029 | 18/03/2020 | 18/03/2020 | Artículos |