Abstract
The advancements in various technologies have changed the way various industries approach their work and also the way they took corrective steps for betterment in their routine work. The healthcare industry is also one of the adopters of innovative technologies. In recent times, artificial intelligence and its counterpart machine leaning becomes a vital part of healthcare industry which may handle new medical procedures and effective maintenance of patient data. Such advanced technology like machine leaning has a huge trend in the industry and is widely used in many applications. Pattern discovery from versatile medical data sources, prediction of diseases, drug reaction and applications, etc. are the major applications of machine learning in the healthcare domain. Such unprecedented opportunities in the healthcare domain are available because of the explosive growth of health-related data. The chapter will highlight the various applications and techniques of machine leaning in the field of healthcare. It will bridge the gap between available data and effective implementation.
TopMachine Learning – An Introduction
Over the past two decades Machine Learning has become one of the mainstays of information technology and with that, a rather central, albeit usually hidden, part of our life. With the ever-increasing amounts of data becoming available there is good reason to believe that smart data analysis will become even more pervasive as a necessary ingredient for technological progress. The chapter has clear and precise objective to focus on the various applications and tools available for Healthcare data to work through Machine Learning (Alex Smola, 2010)
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions. Undoubtedly, Machine Learning is the most in-demand technology in today’s market. Its applications range from self-driving cars to predicting deadly diseases (Lateef, n.d.).
In other words, the machine Learning is considered as one of the applications of Artificial Intelligence. In the recent times, the machine Learning is referred as one of the most used and popular techniques in the field of analytics and prediction. It has tight bondage with other recent technologies like Big Data Analytics, Neural Network, CNN etc. and all it focuses on the implementation of algorithms which has an ability to learn from the data. The progression of Machine Learning is based on 2 important facets (M.A.Jabbar, 2018):
Basically, the perception and approach of Machine Learning algorithms is to develop an ability to learn from the supplied data which is considered as past experience of the machine. So as, the simplest definition of the machine Learning is the extraction of knowledge from huge amount of data and at the same time development of Learning ability within the machine so it produces better results and output than before.
Key Terms in this Chapter
Worldwide Employment: Companies that effectively implement AI can generate more money for their businesses. This, in turn, leads to higher employee wages, better technology tools, and greater efficiency. With such success, companies can actually spread their reach across the world. As a result, they will require a global workforce, which again generates huge employment opportunities.
Machine Learning: The use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.
Al in Healthcare: Healthcare is one area where there is a lot of scope for AI applications. PwC estimates that it would be one of the biggest winners from AI, where job opportunities could increase by nearly 1 million. In the near future, AI-powered healthcare will be available at a scale and on-demand for everyone. Hence, the requirement for AI-assisted healthcare technician jobs will see an upward surge.
Al in Robotics: The area of robotics will see massive growth in the next few years. AI-based robots such as stationary robots, non-humanoid land robots, and fully automated aerial drones, are gaining significant business interest from companies globally. This increased demand is bound to open a lot of job roles for AI robotics engineers.