sing Data Science for Public Health - Spatial clusters detection and machine learning to predict prevention need and diseases based on outpatient claims data
Recruiting
- Conditions
- CariesPeriodontitisirreversible pulpitistooth loss
- Registration Number
- DRKS00030307
- Lead Sponsor
- BFS Health Finance GmbH
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 4500000
Inclusion Criteria
Treatment date between 01.01.2016 and 31.12.2021 (6-year follow-up)
Moderate periodontitis (GOZ 4070, 4075, free text „Parodontalchirurgische Therap, exkl. 4090a, 4100a) closed therapy
Severe periodontits (GOZ 4090, 4100) open therapy
Periodontitis (patients with moderate and/or severe periodontitis)
Moderate caries (GOZ 2050, 2060, 2070, 2080, 2090, 2100, 2110, 2120, 2150, 2160, 2170, free text „Präparieren einer Kavität)
Severe caries (zusätzlich zu moderate caries GOZ 2330, 2340)
Caries (patients with moderate and/or severe caries)
Irreversible pulpitis (GOZ 2360, 2390, 2400, 2410, 2420, 2430, 2440)
Exodontics (GOZ 3000, 3010, 3020, 3030, 3040, 3045, 3270)
Exclusion Criteria
Dental area not 8
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Treatment because of oral disease in claims data
- Secondary Outcome Measures
Name Time Method umber of affected teeth by oral disease