Computer Vision News - April 2021

18 Computer Vision Tool is again what we are going to be looking at. Specifically, using the dataset curated by Fadi Fayez Thabtah, Manukau Institute of Technology in New Zealand , we are going to explore whether it is possible to recognise traits before an Autism Spectrum Disorder (ASD) for toddlers. This would be a very valuable tool for parents, as it can provide a hint on their children’s condition and react early. Autism Spectrum Disorder The dataset is available from many sources online. Specifically, a few different approaches have been followed on Kaggle, but in this article we will present an approach developed on the basis of those Quantitative Checklist for Autism in Toddlers (Q-CHAT) data. The Q-CHAT could detect forms of autism spectrum disorders for the age of 18 to 24 months. It contains 25 likert-type items (quick questions) and describes behaviours a child may or may not engage in. S c r e e n i n g t o d d l e r s f o r A u t i s m u s i n g t h e d a t a s e t f r o m N e w Z e a l a n d M a n u k a u I n s t i t u t e o f T e c h n o l o g y I hope everyone is well and safe and the same for the people you love and your families. As more vaccination efforts are rolled out in the world, it proves how effective science has been. For a critical view on vaccine safety, you can read a very interesting article on Nature 590, 538-540 (2021). In continuation to the theme of last month’s research , autism import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline df1 = pd.read_csv('Autism_Data.arff', na_values='?') df2 = pd.read_csv('Toddler Autism dataset July 2018.csv', na_values='?') df1.head()