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Predictive Analytics and Data Manage...

ProQuest Information and Learning Co.

Predictive Analytics and Data Management in Beef Cattle Production Medicine.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Predictive Analytics and Data Management in Beef Cattle Production Medicine./
作者:	Abell, Kaitlynn M.
面頁冊數:	1 online resource (132 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:	Dissertation Abstracts International78-11B(E).
標題:	Epidemiology. -
電子資源:	click for full text (PQDT)
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. - 1 online resource (132 pages)

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

Thesis (Ph.D.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355050783Subjects--Topical Terms:

635923
Epidemiology.
Index Terms--Genre/Form:

554714
Electronic books.

Predictive Analytics and Data Management in Beef Cattle Production Medicine.
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100 1 $a Abell, Kaitlynn M. $3 1179715
245 1 0 $a Predictive Analytics and Data Management in Beef Cattle Production Medicine.
264 0 $c 2017
300 $a 1 online resource (132 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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.) $c Kansas State University $d 2017.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Epidemiology. $3 635923
650 4 $a Veterinary science. $3 1179701
655 7 $a Electronic books. $2 local $3 554714
690 $a 0766
690 $a 0778
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Kansas State University. $b Diagnostic Medicine and Pathobiology. $3 1179716
773 0 $t Dissertation Abstracts International $g 78-11B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10270946 $z click for full text (PQDT)

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