Erroneous data and drug industry bias can impair machine learning algorithms

This important analysis focuses on the major obstacles that preventive precision medicine must overcome to fulfil its potential.1 Two further obstacles should be brought to attention.

First, erroneous data have great implications for machine learning algorithms used in predictive precision medicine. This holds true for historical data used to train algorithms and for new data used to make …