Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease

Here is an example of assessing the utility of machine learning algorithms on estimating prognosis and guiding therapy in a large cohort of patients with adult congenital heart disease (ACHD) or pulmonary hypertension at a single, tertiary centre.

The case shows an example of using the machine learning algorithm to improve care for ACHD patients. Read the full article here. This article presents its methods and results in adult congenital heart disease(ACHD).

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This article is from the free online course:

Artificial Intelligence for Healthcare: Opportunities and Challenges

Taipei Medical University