Measuring data collection diligence for community healthcare

• Main Authors: KARUNASENA, Galawala Ramesha Samurdhi, AMBIYA, M. S., SINHA, Arunesh, NAGAR, R., DALAL, S., ABDULLAH. H., THAKKAR, D., NARAYANAN, D., TAMBE, M.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Computing methodologies; Machine learning; Artificial intelligence; Community healthcare; Data quality; Data collection diligence; Clustering; Social impact; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6569; https://ink.library.smu.edu.sg/context/sis_research/article/7572/viewcontent/EAAMO_21_camera_copy_1___1_.pdf
• Institution: Singapore Management University

Data analytics has tremendous potential to provide targeted benefit in low-resource communities, however the availability of highquality public health data is a significant challenge in developing countries primarily due to non-diligent data collection by community health workers (CHWs). Our use of...