利用机器学习和神经网络实现癌症登记的转型

Transforming cancer registries with machine learning and neural networksAdhari Abdullah AlZaabiCollege of Medicine and Health Sciences Sultan Qaboos Universityadhari@squ.edu.omOutlineIntroductionMethodsResultsConclusionPlease, consider this is work in progress !!!Cancer Burden (leading cause of death)Cancer Burden (leading cause of death)Oman and Gulf Cooperation Council cancer incidencehttps://pmc.ncbi.nlm.nih.gov/articles/PMC11403302/Cancer care continuum & surveillance Cancer Registry•Track trends over time (Incidence, mortality and survival) •Allocate resources, prevention, screening and treatment•Evaluate effectiveness of cancer programs and policiesCancer RegistrationManual Cancer RegistrationChallenges - Manual abstraction•Expensive•Prone to errors•Affect quality, completeness, •Accuracy and timeliness data•Un-sustainableManual abstraction --→ delayed reportingCancer incidence reports are often not available until 24 months or greater after a diagnosisSolution using AIApplies n