Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.

Summary

Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning. is a master's thesis^[1].

Key Facts

• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s instance of is recorded as a comparative use of conventional statistical methods and machine learning. — instance of (P31): master's thesis^[2].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning. was published by a comparative use of conventional statistical methods and machine learning. — publisher (P123): UC Research Repository^[3].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s language of work or name is recorded as a comparative use of conventional statistical methods and machine learning. — language of work or name (P407): English^[4].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s country of origin is recorded as a comparative use of conventional statistical methods and machine learning. — country of origin (P495): New Zealand^[5].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning. was released on 2019^[6].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s main subject is a comparative use of conventional statistical methods and machine learning. — main subject (P921): statistics^[7].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s title is recorded as Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.^[8].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s author name string is recorded as Sarah A. Sonal^[9].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s thesis submitted to is recorded as a comparative use of conventional statistical methods and machine learning. — thesis submitted to (P4101): University of Canterbury^[10].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s on focus list of Wikimedia project is recorded as a comparative use of conventional statistical methods and machine learning. — on focus list of Wikimedia project (P5008): NZThesisProject^[11].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s copyright status is recorded as a comparative use of conventional statistical methods and machine learning. — copyright status (P6216): copyrighted^[12].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s online access status is recorded as a comparative use of conventional statistical methods and machine learning. — online access status (P6954): open access^[13].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s thesis committee member is recorded as a comparative use of conventional statistical methods and machine learning. — thesis committee member (P9161): Philip Schluter^[14].
• Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s thesis submitted for degree is recorded as a comparative use of conventional statistical methods and machine learning. — thesis submitted for degree (P13338): Master of Science^[15].

Body

Designation and Status

Predicting decayed, missing or filled teeth in young children : a comparative use of conventional statistical methods and machine learning.'s instance of is recorded as a comparative use of conventional statistical methods and machine learning. — instance of (P31): master's thesis^[2].