Research on safe robot operation using force tracking impedance control

March 4, 2021 CS3172

Vision 2030: Focus on Wellness and Preventive Care: The Saudi Government has rolled out initiatives focusing on fitness and preventive care. KSA is aiming for a 3 per cent reduction in obesity by 2030.

https://www.globalhealthsaudi.com/en/overview/saudi-news/Top-priorities-in-KSAs-healthcare-sector.html

Contribution to vision 2030 goal of Focus on Wellbeing and Preventive Care.

Contribution to SDG 17 goal of Good Health and Well-being.

Targeting a large group of children suffering from the most widely spread illnesses in the world,

Children who have obesity are more likely to have: High blood pressure and high cholesterol, which are risk factors for cardiovascular disease.Childhood obesity is associated with a higher chance of premature death and disability in adulthood.

Dont let the adults to reached this sitution.

The numbers are increasing

Preventing is better then treatment.

Focusing on these causes may, over time, decrease childhood obesity and lead to a healthier society as a whole.

For healthcare people

4. Expected Outcomes

10

Development of a computer code for early childhood obesity prediction using machine learning techniques

Identification of potentially high-risk children to whom future obesity prevention strategies should be applied

March 4, 2021 CS3172

2. For the clients which are doctors so that they can stop

5. Literature Review

11

Machine Learning

Predicting obesity is a difficult task and machine learning techniques are powerful for this task.

Prediction Models

Data, BMI and genetics, are good predictors and childhood obesity models can be valuable assets to healthcare applications.

Increasing Obesity Rates

Rates of obesity among Saudi children are significantly increasing.

Current models have low accuracy

Several approaches to early childhood obesity are proposed, but they are inaccurate and no research targets Saudi Arabia.

March 4, 2021 CS3172

Several models have been developed

Current models are inaccurate

No prediction models targeting Saudi Arabia’s children.

Only 2 models are currently in use in the US.

Several approaches to early childhood obesity are proposed, but they are inaccurate.

Prediction models can be deduced from risk factors and genetics.

Childhood obesity models can be valuable assets to healthcare applications.

5. Literature Review

12

Research is limited.

Poor prediction rates.

Early-stage point.

Zhang, S., Tjortjis, C., Zeng, X. et al.:

Evaluated: well-known data mining algorithms

Result: SVM and Bayesian algorithms are the best algorithms for predicting obesity.

Universiti Sains Malaysia:

Proposed: hybrid approach using Naïve Bayes and Genetic Algorithm

Result: 75% accuracy improvement over Naive Bayes.

Indiana University:

Test: six ML algorithms

Result: NaiveBayes and BayesNet high accuracy at 85% and sensitivity at 90% respectively.

Universiti Sains Malaysia:

Data mining techniques on data of ages 9 to 11

Proposed: more significant parameters on an existing solution

Result: 21% accuracy improvement.