Machine Learning In Healthcare

Healthcare is one of the industries where the impact of machine learning (ML) technologies can be described as life-saving. Despite the technology’s enormous potential, ML adoption rates in the healthcare industry remain low. This article identifies the key challenges of diagnostic and predictive ML model development in healthcare and provides expert tips for mitigating these challenges. These challenges include a global shortage of skilled data science and machine learning engineers, limited access to quality data, and the need for regulatory compliance.