About this Research Topic
In recent years, machine learning (ML) based medical data analysis has become a hot topic in the medical field. ML can find valuable information in the vast variety of medical data. Relevant research results have played an increasingly important role in all stages of the whole course of cardiovascular disease patients, including screening, prevention, imaging analysis, diagnosis, treatment, prognosis, rehabilitation, etc. ML has also significantly improved the performance and efficiency of data analysis in these scenarios, even surpassing doctors in some aspects.
Our goal is to provide a forum to show more cutting-edge ML cases applied to stroke, heart failure and related diseases. Application like disease screening, prevention, diagnosis, treatment, prognosis, rehabilitation and other aspects are welcome. By uncovering all related research, we hope this Research Topic will help gain more enlightenment, find more valuable information with ML, and help more medical staff and patients.
We welcome submissions on the following topics, but not limited to:
- Screening, disease risk assessment with ML
- Complications prediction model
- ML aided clinical diagnosis and treatment
- Outcome prediction with ML
- Medical image analysis
- Electrocardiogram analysis
- EMR data mining, like NLP etc.
- Intelligent rehabilitation
Our goal is to provide a forum to show more cutting-edge ML cases applied to stroke, heart failure and related diseases. Application like disease screening, prevention, diagnosis, treatment, prognosis, rehabilitation and other aspects are welcome. By uncovering all related research, we hope this Research Topic will help gain more enlightenment, find more valuable information with ML, and help more medical staff and patients.
We welcome submissions on the following topics, but not limited to:
- Screening, disease risk assessment with ML
- Complications prediction model
- ML aided clinical diagnosis and treatment
- Outcome prediction with ML
- Medical image analysis
- Electrocardiogram analysis
- EMR data mining, like NLP etc.
- Intelligent rehabilitation
Keywords: Machine learning, Deep learning, Risk evaluation, Clinical diagnosis and treatment, Data mining
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
