Multivariate CART for survival with dental applications

多元 CART 用于牙科应用的生存

基本信息

  • 批准号:
    8040651
  • 负责人:
  • 金额:
    $ 23.02万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-03-01 至 2014-02-28
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Tooth loss from periodontal disease or dental caries afflicts most adults over the course of their lives. Goals of professional dental treatment and of personal oral health self-care are to prevent tooth loss and maintain the natural dentition in a state of comfort and function. In order to develop appropriate dental treatment planning, dental health care professionals must weigh the long-term outlook for retention of each tooth against the cost and discomfort involved with each treatment option, and patients and third-party payers must make value judgments about the cost of suggested dental treatments against the probability of long-term success for those treatments. Hence, it is essential to utilize dental prognosis in the development of any dental treatment plan. Goals: The primary goal of this study is to apply newly developed multivariate extensions of Classification And Regression Trees (CART) for survival to a large, de-identified database obtained from the AxiUm system of electronic dental records at Creighton University School of Dentistry to establish global dental prognostic indicators based on actual tooth loss. We also plan to refine computer algorithms we developed for multivariate CART for survival to increase computing efficiency and further extend Bayesian survival trees and random forests to correlated outcomes in order to utilize the most accurate procedure for establishing criteria for assignment of dental prognosis Subjects: The hypotheses will be tested on a 4-year longitudinal database consisting of 19,092 men, women, and children with follow-up data who have been treated at the Creighton University dental clinic. Of the 19,092 patients with follow-up data, 4,339 adults are regular patients in the periodontal clinic with follow-up periodontal records while 1,681 are children under 18 years of age. Available data for testing hypotheses: Data for age, gender, race in some records, time until tooth loss, complete restorative and periodontal records with follow-up, significant medical history, smoking, oral hygiene, special needs, compliance, frequency of dental visits and other parameters that are collected as part of dental treatment and follow-up at the Creighton University School of Dentistry. Significance: By establishing clear, objective criteria for assignment of accurate, evidence-based global dental prognostic indicators that are based on actual tooth loss, this study has the potential to make a tremendous impact on the dental community. Adoption and use of accurate, evidence-based global dental prognostic indicators could aid dental practitioners in better treatment planning, help third-party payment plans make better decisions about benefits, and provide patients with an avenue for making informed decisions about their dental treatment needs. PUBLIC HEALTH RELEVANCE: The objective of this proposal is to identify simple, objective clinical criteria for assignment of global dental prognostic indicators that are based on actual tooth loss. The central hypothesis is that commonly used clinical measures can be used to forecast the long-term prognosis of any tooth in a patient's mouth at any given time. Development, adoption, and use of accurate, evidence-based global dental prognostic indicators has the potential for making a significant public health impact by aiding dental practitioners in better treatment planning, helping third-party payment plans make better decisions about benefits, and providing patients objective criteria for making informed decisions about their dental treatment needs.
描述(由申请人提供):牙周疾病或龋齿造成的牙齿脱落,使大多数成年人一生都折磨。专业牙科治疗和个人口腔健康自我保健的目标是防止牙齿脱落并保持舒适和功能状态的自然牙列。为了制定适当的牙科治疗计划,牙科医疗保健专业人员必须权衡每种牙齿的长期前景,以与每种治疗方案所涉及的成本和不适感权利,并且患者和第三方付款人必须对建议的牙科治疗费用进行价值判断,以与这些治疗的长期成功可能性。因此,在任何牙科治疗计划的制定中都必须利用牙齿预后。目标:这项研究的主要目标是将新开发的分类和回归树(CART)的多元扩展(以生存)用于从Creighton University牙科学院的电子牙科记录轴系统中获得的大型,去识别的数据库,以建立基于实际牙齿损失的全球牙科牙科预后指标。我们还计划完善用于多元车的计算机算法,以提高计算效率,以提高贝叶斯生存树和随机森林,以培养结局,以便利用最准确的程序来确定牙科预后分配的标准,以验证男性的妇女久违的人:妇女的久违。已在克雷顿大学牙科诊所接受治疗。在19,092例随访数据的患者中,有4,339名成年人是牙周诊所的常规患者,牙周记录后期记录,而1,681例18岁以下的儿童。用于测试假设的可用数据:年龄,性别,某些记录中的种族数据,牙齿脱落,完整的修复和牙周记录,具有后续的病史,大量病史,吸烟,口腔卫生,特殊需求,合规性,牙科访问的频率和其他参数,这些参数是在Creighton University School of Dentertrication of Dentertrication of Dentertrication的牙科治疗和随访的一部分。意义:通过建立明确的客观标准,用于分配基于实际牙齿损失的准确,基于证据的全球牙科预后指标,这项研究有可能对牙科界产生巨大影响。采用和使用准确的,基于证据的全球牙科预后指标可以帮助牙科医生进行更好的治疗计划,帮助第三方支付计划做出更好的决定,并为患者提供有关其牙​​科治疗需求的明智决定的途径。 公共卫生相关性:该提案的目的是确定基于实际牙齿脱落的全球牙科预后指标的简单,客观的临床标准。中心假设是,常用的临床措施可用于预测患者口腔中任何牙齿在任何给定时间的长期预后。开发,采用和使用准确的,基于证据的全球牙科预后指标有可能通过帮助牙科医生进行更好的治疗计划来产生重大的公共健康影响,帮助第三方支付计划做出更好的决定,并为患者提供有关其牙​​科治疗需求的知情决策的客观标准。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

MARTHA E NUNN其他文献

MARTHA E NUNN的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('MARTHA E NUNN', 18)}}的其他基金

Multivariate CART for survival with dental applications
多元 CART 用于牙科应用的生存
  • 批准号:
    8231311
  • 财政年份:
    2011
  • 资助金额:
    $ 23.02万
  • 项目类别:
Multivariate CART for survival with dental applications
多元 CART 用于牙科应用的生存
  • 批准号:
    8426169
  • 财政年份:
    2011
  • 资助金额:
    $ 23.02万
  • 项目类别:
BIOMETRY CORE
生物测定核心
  • 批准号:
    7496280
  • 财政年份:
    2007
  • 资助金额:
    $ 23.02万
  • 项目类别:
Multivariate CART for survival with dental applicaions
多元 CART 用于牙科应用的生存
  • 批准号:
    7117305
  • 财政年份:
    2005
  • 资助金额:
    $ 23.02万
  • 项目类别:
Multivariate CART for survival with dental applicaions
多元 CART 用于牙科应用的生存
  • 批准号:
    6960515
  • 财政年份:
    2005
  • 资助金额:
    $ 23.02万
  • 项目类别:
Interleukin-1 Composite Genotype and Alveolar Bone Loss
Interleukin-1 复合基因型与牙槽骨丢失
  • 批准号:
    6790811
  • 财政年份:
    2004
  • 资助金额:
    $ 23.02万
  • 项目类别:
Interleukin-1 Composite Genotype and Alveolar Bone Loss
Interleukin-1 复合基因型与牙槽骨丢失
  • 批准号:
    6892829
  • 财政年份:
    2004
  • 资助金额:
    $ 23.02万
  • 项目类别:
CORE--BIOMETRY
核心--生物测定学
  • 批准号:
    6927331
  • 财政年份:
    2004
  • 资助金额:
    $ 23.02万
  • 项目类别:
CORE--BIOMETRY
核心--生物测定学
  • 批准号:
    6662136
  • 财政年份:
    2002
  • 资助金额:
    $ 23.02万
  • 项目类别:
CORE--BIOMETRY
核心--生物测定学
  • 批准号:
    6401933
  • 财政年份:
    2001
  • 资助金额:
    $ 23.02万
  • 项目类别:

相似国自然基金

时空序列驱动的神经形态视觉目标识别算法研究
  • 批准号:
    61906126
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
  • 批准号:
    41901325
  • 批准年份:
    2019
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
  • 批准号:
    61802133
  • 批准年份:
    2018
  • 资助金额:
    23.0 万元
  • 项目类别:
    青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
  • 批准号:
    61872252
  • 批准年份:
    2018
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目
针对内存攻击对象的内存安全防御技术研究
  • 批准号:
    61802432
  • 批准年份:
    2018
  • 资助金额:
    25.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

A Family-Based HIV Prevention Program for Black Men to Protect Black Girls
针对黑人男性的基于家庭的艾滋病毒预防计划,以保护黑人女孩
  • 批准号:
    10716525
  • 财政年份:
    2023
  • 资助金额:
    $ 23.02万
  • 项目类别:
MyPEEPS Mobile Plus: A Multi-Level HIV Prevention Intervention for Young MSM
MyPEEPS Mobile Plus:针对年轻 MSM 的多层次 HIV 预防干预措施
  • 批准号:
    10818851
  • 财政年份:
    2023
  • 资助金额:
    $ 23.02万
  • 项目类别:
Using machine learning to accelerate our understanding of risks for early substance use among child-welfare and community youth
利用机器学习加速我们对儿童福利和社区青少年早期药物使用风险的了解
  • 批准号:
    10734004
  • 财政年份:
    2023
  • 资助金额:
    $ 23.02万
  • 项目类别:
Development and testing of a digitally assisted risk reduction platform for youth at high risk for suicide
为自杀高危青少年开发和测试数字辅助风险降低平台
  • 批准号:
    10509791
  • 财政年份:
    2022
  • 资助金额:
    $ 23.02万
  • 项目类别:
Harnessing the power of technology to develop a population-based HIV prevention program for trans girls
利用技术的力量为跨性别女孩制定基于人口的艾滋病毒预防计划
  • 批准号:
    10308350
  • 财政年份:
    2021
  • 资助金额:
    $ 23.02万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了