From the past few decades, the healthcare system depends on the interaction between a doctor and a patient and operates on limited data. The restricted feature of this healthcare system fails to leverage the data. Besides, the healthcare process is time-consuming and tiring resulting in inefficient patient handling. Thus, due to the lack of availability of critical data, many healthcare systems are unsuccessful in providing the needful treatment to patients. Even patients are not in entire control because they have a large number of reports from different doctors that are hard to manage in one place and make the right health decision. Recently, the employ of artificial intelligence (AI) techniques in healthcare can help the healthcare system to overcome the aforementioned challenges and issues. This chapter briefs the different AI algorithms carried out in diverse health disease detection and diagnosis. Further, it provides a review of such used algorithms. By learning this chapter, the readers and investigators will be able to keep the concept of AI on detecting disease and medical diagnosis, as well as to identify the proper and optimized method of research on their field of investigation for further developments.

Chapter Contents:

• Abstract
• 21.1 Introduction
• 21.2 Overview of diseases detection and diagnosis techniques
• 21.3 Supervised learning models
• 21.3.1 Deep learning models
• 21.3.2 Neural networks models
• 21.3.3 Regression models
• 21.3.4 Traditional classification models
• 21.3.5 Probabilistic models
• 21.4 Unsupervised learning models
• 21.4.1 Clustering models
• 21.4.2 One-class classification models
• 21.4.3 Dimensionality reduction models
• 21.5 Reinforcement learning models
• 21.6 Summary of some applications for disease diagnosis in healthcare
• 21.7 Some open research problems
• 21.8 Conclusions
• References

Inspec keywords: patient diagnosis; medical information systems; health care; diseases; artificial intelligence

Other keywords: artificial intelligence-based diseases diagnosis; AI algorithm; artificial intelligence-based diseases detection; healthcare system; diverse health disease detection

Subjects: Knowledge based systems; Medical administration; Biology and medical computing