Evaluation of Machine Learning Architectures in Healthcare
Over the past few years, there is a race to implement Artificial Intelligence (AI) and ML in this sector and the proposed models are nowhere near the actual implementation of these models in the real world.
Abstract
Machine Learning (ML) is now influencing every part of the industry. From detecting objects from an image to recommending different items while doing online shopping based on someone's recent browsing history. Now, the ML is touching the healthcare sector. It is now an area of interest for more doctors and scientists to implement different techniques and harvest the power of ML. Over the past few years, there is a race to implement Artificial Intelligence (AI) and ML in this sector. Multiple scholars have presented their approach. Currently, the proposed models are nowhere near the actual implementation of these models in the real world. However, these models are laying down the path to do so in the future. Here is a review of some of the papers discussing different techniques for targeting various diseases using AI/ML. Each paper introduces a method developed based on the separate datasets created from organically collected data.