HIGHLIGHTS
- who: Tech Science Press and colleagues from the Predicitive Analytics Laboratory, Shaheed Zulfikar Ali Bhutto Institute of and Technology, Islamabad, Pakistan Department of Software Engineering, Foundation University Islamabad, Islamabad, Pakistan have published the Article: Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI), in the Journal: (JOURNAL)
- what: This study proposes a defaulter prediction model for accurate identification of defaulters. Reducing the child morbidity and mortality is the major objective of immunization services. Considering the gaps found in literature, utilization of data for analysis and pattern discovery to improve . . .
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