Читать книгу Computational Intelligence and Healthcare Informatics - Группа авторов - Страница 15

In recent years, artificial intelligence (AI) has shown tremendous growth in transforming every aspect of life due to its wide range of tools which help in decision-making by analyzing data and integrating information. In terms of technology, Al has stolen spotlight and its advancements are quicker than our prediction [4]. ML being a subset of AI is transforming the world and raising its importance for the society. ML is defined as the study of methods and tools which help in identifying patterns within data and make computer learn without being programmed explicitly. ML can further be used to extend our knowledge regarding current scenario as well as for future prediction by allowing program to learn through experience. It uses the concept of AI for data optimization. Analyzing the best model to make the machine intelligent for data explanation is the goal. We will be discussing here its development in the field of medicine.

Figure 1.1 Machine learning and big data analysis in healthcare.

Figure 1.2 shows the different areas where ML algorithm is playing a major role to provide better healthcare services. Applying such technology will help in proving personalized treatment which will improve the health condition of patients. Drug discovery and research will be highly benefited as the structured data will be available. Further support will be provided to clinical decision-making and early detection of diseases will be possible to make the services better for individual. The use of Deep Learning (DL) and neural network will be highly helpful in improving the imaging and diagnostic techniques. By proving all the essential services in medical, the fraud related to medical insurance will minimized to the least.

ML can transform the healthcare services by making us better providers of correct medical facility at the patient level. We can gather information on how different environmental exposure and lifestyle will vary the symptoms of disease. The intervention and history will help us decide treatment and decision-making. We can further understand the health and disease trajectory which will help in prepare us before arrival of the pandemics in worst possible situation. The resources available to us can be utilized in more efficient way with reduced costs. Also, the public health policies can be transformed in a way benefiting the people.

Figure 1.2 Application of ML in healthcare.