# Chi-Squared test: ok for selecting significant features?

I would have a question on the contingency table and its results. I was performing this analysis on names starting with symbols as a possible feature, getting the following values:

Label          0.0  1.0
with_symb      1584 241
without_symb     16 14


getting a p-value which lets met conclude that variables are associated (since it is less than 0.05). My question is if this result might be a good result based on the chi-squared test, so if I can include in the model. I am selecting individually features to enter the model based on the chi-squared. Maybe there is another way to select the most appropriate and significant features for the model. Any suggestions on this would be great.