Analysis of the respiratory flow signal for the diagnosis of patients with chronic heart failure using artificial intelligence techniques

Author(s):  
J. C. Rodríguez ◽  
C. J. Arizmendi ◽  
C. A. Forero ◽  
S. K. Lopez ◽  
B. F. Giraldo
2016 ◽  
Vol 55 (2) ◽  
pp. 245-255 ◽  
Author(s):  
Ainara Garde ◽  
Leif Sörnmo ◽  
Pablo Laguna ◽  
Raimon Jané ◽  
Salvador Benito ◽  
...  

2022 ◽  
pp. 80-91
Author(s):  
Kartik Pinakin Desai ◽  
Mihir Akshay Shah ◽  
Mansi Chetan Lapasia ◽  
Sonali Atulkumar Patil ◽  
Sujata P. Pathak

Mental health is a major healthcare issue around the world, and it must be made a priority in the healthcare sector. That being said, it seems that progress in this area is moving at a slow rate. These conditions aren't always difficult to live with, but they also put you at risk for heart failure, severe anxiety, and depression, leading to serious stress and physical disability. In middle and upper nations, a majority of people deal with at least one of these psychiatric disorders at a certain stage in their lives. Artificial intelligence techniques have recently received a lot of attention in a variety of areas, including psychological health. A personalized therapy that aims to deliver emotional support to a particular person has to be enabled with the help of specialized artificial intelligence methods and ML algorithms. The aim of this chapter is to evaluate and create a system that assists a person in predicting and curing his or her psychiatric disorder using various artificial intelligence concepts and strategies, thus assisting people in curing their problems.


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