Mathematical logic (Boolean Algebra) for computation of Treatment Recommendation in Systemic Sclerosis

Background: Treatment guidelines have become more and more complex due to targeting the needs of the individual patient. This results in numerous treatment options driven by permutations of risk factors Aim: This study used mathematical logic (Boolean algebra) as precise method to calculate treatment permutations. Results: Each medication was represented as a Boolean variable. Premises were sub entities of systemic sclerosis; conclusions were combinations of medications. Conclusion: Mathematical logic (Boolean algebra) can be used to precisely calculate treatment combination in systemic sclerosis based on disease conditions.