This is one of those articles where you have to restrain yourself. Its message - that good old statistical tools like logistic regression can perform as well as these new fangled machine learning approaches that you haven’t taken the time to learn - is quite tempting. But I’d be cautious here. Maybe logistic regression is still competitive - but maybe the systematic overview got a bunch of biased studies. It’s worthwhile to cite this whenever someone makes an overly strong claim about machine learning models - but don’t use this as an excuse to keep from learning the new stuff yourself. This article is stuck behind a paywall. Sorry!
Evangelia Christodoulou, Jie Ma, Gary S. Collins, Ewout W. Steyerberg, Jan Y. Verbakel, Ben Van Calster. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. Journal of Clinical Epidemiology, Volume 110, 2019. Pages 12-22. DOI: [10.1016/j.jclinepi.2019.02.004]. Article is behind a pay wall.