Nonclinical Features in Predictive Modeling of Cardiovascular Diseases: A Machine Learning Approach

• Main Authors: Mirza Rizwan, Sajid, Noryanti, Muhammad, Roslinazairimah, Zakaria, Ahmad, Shahbaz, Syed Ahmad Chan, Bukhari, Kadry, Seifedine, A., Suresh
• Format: Article
• Language: English
• Published: Springer 2021
• Subjects: QA Mathematics; R Medicine (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/31891/1/Nonclinical%20Features%20in%C2%A0Predictive%20Modeling.pdf; http://umpir.ump.edu.my/id/eprint/31891/; https://doi.org/10.1007/s12539-021-00423-w; https://doi.org/10.1007/s12539-021-00423-w

Background In the broader healthcare domain, the prediction bears more value than an explanation considering the cost of delays in its services. There are various risk prediction models for cardiovascular diseases (CVDs) in the literature for early risk assessment. However, the substantial increase...