Selection of quantum computing architecture using a decision tree approach

Decision trees have been used as an aid to selection of critical control points as part of the development of hazard analysis critical control point (HACCP) systems. The background for those in existence is described. Another decision-tree approach that follows the logic in the IAMFES manual Procedures to Implement the Hazard Analysis Critical Control Point Approach is presented. It takes into consideration impending hazards, the effect of actions exercised at the operation in question, whether control actions should be taken at this or subsequent operations and whether the CCP will be monitored and corrections made. Further, guidelines are given for selecting an operation as a critical control point. A decision tree to aid in the evaluation of risks is presented, considering whether illness will result, the severity of the illness and the likely occurrence of this outcome, based upon epidemiologic or challenge study of related events. These decision trees provide additional tools to aid in the development of HACCP systems.

Download Full-text

Individual differences in mammogram compliance: A decision-tree approach

PsycEXTRA Dataset ◽

10.1037/e514472015-401 ◽

2014 ◽

Author(s):

Celia K. Naivar Sen ◽

G. Tarcan Kumkale

Keyword(s):

Individual Differences ◽

Decision Tree ◽

Tree Approach

Download Full-text

A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies

The Journal of Risk Model Validation ◽

10.21314/jrmv.2017.170 ◽

2017 ◽

Vol 11 (2) ◽

pp. 43-64 ◽

Cited By ~ 6

Author(s):

Jiaming Liu ◽

Chong Wu

Keyword(s):

Decision Tree ◽

Empirical Model ◽

Model Evaluation ◽

Failure Prediction ◽

Listed Companies ◽

Gradient Boosting ◽

Chinese Listed Companies ◽

Tree Approach

Download Full-text

AN EFFICIENT DECISION TREE APPROACH FOR OPINION MINING FROM SKEWED TWITTER CORPUS USING CONFISCATE AND SUBSTITUTE TECHNIQUE

10.21506/j.ponte.2017.1.13 ◽

2017 ◽

Vol 73 (1) ◽

Author(s):

salina adinarayana ◽

E. Ilavarasan

Keyword(s):

Decision Tree ◽

Opinion Mining ◽

Tree Approach

Download Full-text

Finding Children with High Risk of Non-Vaccination in 92 Low- and Middle-Income Countries: A Decision Tree Approach

Vaccines ◽

10.3390/vaccines9060646 ◽

2021 ◽

Vol 9 (6) ◽

pp. 646

Author(s):

Thiago M. Santos ◽

Bianca O. Cata-Preta ◽

Cesar G. Victora ◽

Aluisio J. D. Barros

Keyword(s):

High Risk ◽

Decision Tree ◽

Immunization Coverage ◽

Risk Groups ◽

Demographic And Health Surveys ◽

Middle Income ◽

Agenda 2030 ◽

Middle Income Countries ◽

Tree Approach ◽

Low And Middle Income

Reducing vaccination inequalities is a key goal of the Immunization Agenda 2030. Our main objective was to identify high-risk groups of children who received no vaccines (zero-dose children). A decision tree approach was used for 92 low- and middle-income countries using data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys, allowing the identification of groups of children aged 12–23 months at high risk of being zero dose (no doses of the four basic vaccines—BCG, polio, DPT and measles). Three high-risk groups were identified in the analysis combining all countries. The group with the highest zero-dose prevalence (42%) included 4% of all children, but almost one in every four zero-dose children in the sample. It included children whose mothers did not receive the tetanus vaccine during and before the pregnancy, who had no antenatal care visits and who did not deliver in a health facility. Separate analyses by country presented similar results. Children who have been missed by vaccination services were also left out by other primary health care interventions, especially those related to antenatal and delivery care. There is an opportunity for better integration among services in order to achieve high and equitable immunization coverage.

Download Full-text