Predict whether a person has autism or not
Based on the score of autism and features like age, gender, ethnicity,country, predict whether the person has autism or not.
This project is done for ML olympiad competition on kaggle.
Abstract Improve Autism Screening by creating predicting the likelihood of having this condition.
About this dataset What is Autism Autism, or autism spectrum disorder (ASD), refers to a broad range of conditions characterized by challenges with social skills, repetitive behaviors, speech and nonverbal communication.
Causes and Challenges It is mostly influenced by a combination of genetic and environmental factors. Because autism is a spectrum disorder, each person with autism has a distinct set of strengths and challenges. The ways in which people with autism learn, think and problem-solve can range from highly skilled to severely challenged. Research has made clear that high quality early intervention can improve learning, communication and social skills, as well as underlying brain development. Yet the diagnostic process can take several years.
The Role of Machine Learning This dataset is composed of survey results for more than 700 people who filled an app form. There are labels portraying whether the person received a diagnosis of autism, allowing machine learning models to predict the likelihood of having autism, therefore allowing healthcare professionals prioritize their resources.
Acknowledgements Citations
Tabtah, F. (2017). Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment. Proceedings of the 1st International Conference on Medical and Health Informatics 2017, pp.1-6. Taichung City, Taiwan, ACM. Thabtah, F. (2017). Machine Learning in Autistic Spectrum Disorder Behavioural Research: A Review. To Appear in Informatics for Health and Social Care Journal. December, 2017
Image Source
License
Public Domain
Data Source
The data files for this competition was developed synthetically by using CTGan on Autism Screening on Adults Dataset. The dataset creation, as well as the competition setup, was done by Suryansu Dash and Laxman Naik of GDSC CET-Bhubaneswar