machine learning in public health

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Another prominent example in this regard came from DeepMind's publication of the possible protein structures associated with the COVID-19 virus (SARS-CoV-2) using their AlphaFold system. For example, our process of vetting results in the Global Burden of Disease Study [2] included the visual inspection of thousands of plots showing data together with model estimates. Our experience developing methods for computer certification of verbal autopsy has bolstered our belief that using an explainable approach, even with a reduction in accuracy, can be superior. Qualified practitioners are in short supply. There is increasing awareness that health … enhancing the ability to see and navigate in a procedure. Going beyond the conventional long-haul process, AI techniques are increasingly being applied to accelerate the fundamental processes of early-stage candidate selection and mechanism discovery. This could be the biggest impact of AI tools as it can potentially transform the quality of life for billions of people around the world. These technologies are also being used in the following ways: Preventing crime: AI and machine learning help authorities track and manage the huge amount of data generated by public surveillance devices, and analyze that data in real time for anomalies and threats.