A review of AI and Data Science support for cancer management
作者：
Highlights：
• Thanks to improvement of care, cancer has become a chronic condition.
• We review computerized systems that employ AI and Data Science to monitor and support cancer patients.
• We identify best practices and open challenges in the main areas of data collection, data integration, predictive modeling and patient coaching.
• Recommendations: use validated electronic questionnaires, adopt appropriate information modeling standards and behavior change theories.
• Open research challenges: support emotional and social well-being, include PROs in predictive modeling, and provide better customization.
摘要
•Thanks to improvement of care, cancer has become a chronic condition.•We review computerized systems that employ AI and Data Science to monitor and support cancer patients.•We identify best practices and open challenges in the main areas of data collection, data integration, predictive modeling and patient coaching.•Recommendations: use validated electronic questionnaires, adopt appropriate information modeling standards and behavior change theories.•Open research challenges: support emotional and social well-being, include PROs in predictive modeling, and provide better customization.
论文关键词：Cancer,Decision support system,Data science,Data integration,Patient reported outcomes,Quality of life,Artificial intelligence,Predictive modeling,Patient coaching
论文评审过程：Received 7 August 2020, Revised 23 December 2020, Accepted 11 May 2021, Available online 24 May 2021, Version of Record 28 May 2021.
论文官网地址：https://doi.org/10.1016/j.artmed.2021.102111
