Promoting a Mobile Data Collection System to Improve HWC Incident Recording: A Simple and Handy Solution for Controlling Problem Animals in Southern Africa

2015 ◽  
pp. 395-411 ◽  
Author(s):  
Sébastien Le Bel ◽  
David Chavernac ◽  
Fiona Stansfield
2014 ◽  
Vol 513-517 ◽  
pp. 1131-1134 ◽  
Author(s):  
Hong Mei Gao ◽  
Yu Chuan Liu

Issues for food traceability are receiving enthusiastic research interests recently. Traceability system is aimed to provide information visibility through the farming, production, packing, distribution, transportation, and sales process. The objective of this research is to develop a mobile data collection system to enhance the efficiency of e-traceability data construction. The mobile system consists of a front-end application service with cell phone and QR code labels. By scanning the QR code labels related to the farming operations, traceability data can be uploaded simultaneously to the back-end web server. The miscellaneous traceability data construction can be simply replaced by scanning QR code labels. Applications of this mobile system can significantly reduce the complexity of traceability in agriculture.


2013 ◽  
Vol 33 (24) ◽  
Author(s):  
申文明 SHEN Wenming ◽  
孙中平 SUN Zhongping ◽  
张雪 ZHANG Xue ◽  
初东 CHU Dong ◽  
李飞 LI Fei ◽  
...  

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.


2021 ◽  
Author(s):  
Andrew L. Ross ◽  
Victoria A. Natalie ◽  
James C. Brenner ◽  
Kyle T. Hickman ◽  
Jamey D. Jacob

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