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Predictive Analytics and Data Manage...

Abell, Kaitlynn M.

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Predictive Analytics and Data Management in Beef Cattle Production Medicine.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predictive Analytics and Data Management in Beef Cattle Production Medicine./
Author:	Abell, Kaitlynn M.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	132 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:	Dissertation Abstracts International78-11B(E).
Subject:	Epidemiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270946
ISBN:	9780355050783

Predictive Analytics and Data Management in Beef Cattle Production Medicine.
Abell, Kaitlynn M.

Predictive Analytics and Data Management in Beef Cattle Production Medicine. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 132 p.

Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.

Thesis (Ph.D.)--Kansas State University, 2017.

Utilization of data analytics allows for rapid and real-time decision making in the food animal production industry. The objective of my research was to implement and utilize different data analytic strategies in multiple sectors of the beef cattle industry in order to determine management, health, and performance strategies.

ISBN: 9780355050783Subjects--Topical Terms:

568544
Epidemiology.

Predictive Analytics and Data Management in Beef Cattle Production Medicine.
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100 1 $a Abell, Kaitlynn M. $3 3342501
245 1 0 $a Predictive Analytics and Data Management in Beef Cattle Production Medicine.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 132 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
500 $a Advisers: Brad J. White; Robert L. Larson.
502 $a Thesis (Ph.D.)--Kansas State University, 2017.
520 $a Utilization of data analytics allows for rapid and real-time decision making in the food animal production industry. The objective of my research was to implement and utilize different data analytic strategies in multiple sectors of the beef cattle industry in order to determine management, health, and performance strategies.
520 $a A retrospective analysis using reproductive and genomic records demonstrated that a bull will sire a larger number of calves in a multiple sire-pasture compared to other bulls in the same pasture. A further study was performed to determine if behavior differences existed among bulls in a multiple-sire pasture, and the ability of accelerometers to predict breeding behaviors. Machine learning techniques used classifiers on accelerometer data to predict behavior events lying, standing, walking, and mounting. The classifiers were able to accurately predict lying and standing, but walking and mounting resulted in a lower predictable accuracy due to the extremely low prevalence of these behaviors.
520 $a Finally, a new form of meta-analysis to the veterinary literature, a mixed treatment comparison, was able to accurately identify differences in metaphylactic antimicrobials on outcomes of bovine respiratory disease morbidity, mortality, and retreatment morbidity. The meta-analysis was not successful in determining the effects of metaphylactic antimicrobials on performance outcomes.
590 $a School code: 0100.
650 4 $a Epidemiology. $3 568544
650 4 $a Veterinary science. $3 3172798
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710 2 $a Kansas State University. $b Diagnostic Medicine and Pathobiology. $3 3342502
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