Linking Serial Sex Offences Using Standard, Iterative, and Multiple Classification Trees

2021 ◽  
Author(s):  
Craig Bennell ◽  
Rebecca Mugford ◽  
Jessica Woodhams ◽  
Eric Beauregard ◽  
Brittany Blaskovits
Keyword(s):  
Classification Trees ◽  
Multiple Classification ◽  
Sex Offences

Plant Traits Response to Grazing Exclusion by Fencing Assessed via Multiple Classification Approach: A Case from a Subalpine Meadow

2019 ◽  
Vol 67 (1) ◽  
pp. 33 ◽  
Author(s):  
Wen Jin Li ◽  
Shuang Shuang Liu ◽  
Jin Hua Li ◽  
Ru Lan Zhang ◽  
Ka Zhuo Cai Rang ◽  
...  
Keyword(s):  
Plant Traits ◽  
Classification Approach ◽  
Grazing Exclusion ◽  
Subalpine Meadow ◽  
Multiple Classification

Mental health problems in young male offenders with and without sex offences: a comparison based on the MAYSI-2

2015 ◽  
Vol 26 (5) ◽  
pp. 352-365 ◽  
Author(s):  
Cyril Boonmann ◽  
Rebecca J. Nelson ◽  
Frank DiCataldo ◽  
Lucres M. C. Jansen ◽  
Theo A. H. Doreleijers ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Young Male ◽  
Health Problems ◽  
Male Offenders ◽  
Sex Offences

A semi-supervised approach to growing classification trees

2020 ◽  
Author(s):  
Sudarsun Santhiappan ◽  
Balaraman Ravindran
Keyword(s):  
Classification Trees

scholarly journals Risk factors for tooth loss with a mean follow-up period of 13.9 years in supportive periodontal therapy patients

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tomotaka Kato ◽  
Natsuki Fujiwara ◽  
Tomohisa Ogawa ◽  
Yukihiro Numabe
Keyword(s):  
Risk Factors ◽  
Tooth Loss ◽  
Periodontal Therapy ◽  
Dental Hygienists ◽  
Multiple Classification Analysis ◽  
Hazard Ratios ◽  
Dental Office ◽  
Multiple Classification ◽  
Supportive Periodontal Therapy

Abstract Background Clinical evidence indicates that there are various risk factors of tooth loss. However, the degree of this risk among other risk factors remains unclear. In this retrospective cohort study, the authors evaluated the hazard ratios of several risk factors for tooth loss. Methods Included patients had all been treated for dental disorders, were in the supportive phase of periodontal therapy by dental hygienists, and visited a Japanese dental office continually during a 10-year period. Periodontal parameters, tooth condition, and general status of all teeth (excluding third molars) at the initial visit and at least 10 years later were evaluated by using multiple classification analysis. Results The authors evaluated a total of 7584 teeth in 297 patients (average age: 45.3, mean follow-up time: 13.9 years) Non-vital pulp was the most significant predictor of tooth loss according to Cox hazards regression analysis (hazard ratio: 3.31). The 10-year survival rate was approximately 90% for teeth with non-vital pulp and 99% for teeth with vital pulp. Fracture was the most common reason for tooth loss. Conclusions Non-vital pulp had the most significant association with tooth loss among the parameters. Therefore, it is very important to minimize dental pulp extirpation.

Multi-Step Classification Trees

2012 ◽  
Vol 41 (9) ◽  
pp. 1728-1744 ◽  
Author(s):  
Youngjae Chang
Keyword(s):  
Classification Trees

Non-binary classification trees

1996 ◽  
Vol 6 (3) ◽  
pp. 231-243 ◽  
Author(s):  
Stanislav Keprta
Keyword(s):  
Binary Classification ◽  
Classification Trees
Sign in / Sign up

Export Citation Format

Share Document