Читать книгу Handbook on Intelligent Healthcare Analytics - Группа авторов - Страница 78

Big data analytics for healthcare read the images using algorithms. These algorithms analyze the image by identifying patterns in the pixels and convert it into numbers. The result of the analysis is used by the doctor during the diagnosing process. Because of big data analytical tools, the doctor will analyze the outcomes of the algorithms.

Artificial intelligence is more efficient for the diagnosis of many diseases. One of the examples of AI is diagnosing breast cancer, which is developed by scientists of Google. This diagnosing system uses deep learning algorithm to predict the cancer cells which uses medical images as input [15]. Artificial Intelligence with medical imaging is used in early diagnosis of neurological disease, cardiovascular abnormalities, and cancer cells [30]. Medical imaging with the big data analytical tool and artificial Intelligence is mainly used in the treatment and disease diagnosis process in the early state.

The other big data applications in healthcare industries are as follows:

 • Automation of hospital administration process

 • Personalized healthcare service

 • Medical research and the drug discovery

 • Prevent health insurance fraud

 • Prevent unnecessary emergency visits of patients

 • Practice telemedicine

 • Enhance the data security

 • Improved strategic planning with the health data.

All the abovementioned applications of healthcare, in big data, can save human lives with more accurate and personalized patient care. The applications of healthcare in big data have a great impact on our lives. The researchers, hospitals, and the physicians are continuously analyzing the vast amount of healthcare data for developing new therapies and for finding new treatments. The innovation in healthcare application is evolving due to continuous development in technologies. The big data application in medical industries helps to prevent pandemic and disease with lower cost.