SKELETAL MATURATION PREDICTIVE MODEL
| Main Author: | YAN BIN |
|---|---|
| Format: | info dataset Journal |
| Terbitan: |
, 2021
|
| Online Access: |
https://zenodo.org/record/4596541 |
| ctrlnum |
4596541 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>YAN BIN</creator><date>2021-03-11</date><description>the flawless treatment plan depends on precisely scoring of individual maturational stages. Geometrical and morphological evaluation of Cervical vertebras has offered a great potential to achieve the latter purpose. WE AIMED to develop multi-stage models based on logistic regression, which helped us to gain a highly accurate skeletal maturation determination. Moreover, the proposed methods can provide new grounds for other clinical multi-stage problems.</description><identifier>https://zenodo.org/record/4596541</identifier><identifier>10.5281/zenodo.4596541</identifier><identifier>oai:zenodo.org:4596541</identifier><relation>doi:10.5281/zenodo.4596540</relation><rights>info:eu-repo/semantics/restrictedAccess</rights><title>SKELETAL MATURATION PREDICTIVE MODEL</title><type>Other:info:eu-repo/semantics/other</type><type>Other:dataset</type><recordID>4596541</recordID></dc>
|
| format |
Other:info:eu-repo/semantics/other Other Other:dataset Journal:Journal Journal |
| author |
YAN BIN |
| title |
SKELETAL MATURATION PREDICTIVE MODEL |
| publishDate |
2021 |
| url |
https://zenodo.org/record/4596541 |
| contents |
the flawless treatment plan depends on precisely scoring of individual maturational stages. Geometrical and morphological evaluation of Cervical vertebras has offered a great potential to achieve the latter purpose. WE AIMED to develop multi-stage models based on logistic regression, which helped us to gain a highly accurate skeletal maturation determination. Moreover, the proposed methods can provide new grounds for other clinical multi-stage problems. |
| id |
IOS16997.4596541 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T02:14:53Z |
| last_indexed |
2022-06-06T02:14:53Z |
| recordtype |
dc |
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1734893968156524544 |
| score |
17.60897 |