Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study-Reference-Cited by-同舟云学术

Using Predictive Analytics to Identify Children at High Risk of Defaulting From a Routine Immunization Program: Feasibility Study

Published:2018-09-04 Issue:3 Volume:4 Page:e63
ISSN:2369-2960
Container-title:JMIR Public Health and Surveillance
language:en
Short-container-title:JMIR Public Health Surveill

Author:

Chandir Subhash^ORCID,Siddiqi Danya Arif^ORCID,Hussain Owais Ahmed^ORCID,Niazi Tahira^ORCID,Shah Mubarak Taighoon^ORCID,Dharma Vijay Kumar^ORCID,Habib Ali^ORCID,Khan Aamir Javed^ORCID

Publisher

JMIR Publications Inc.

Subject

Public Health, Environmental and Occupational Health,Health Informatics

Reference22 articles.

1. World Health Organization2017WHO-UNICEF estimates of DTP1 coverage http://apps.who.int/immunization_monitoring/globalsummary/timeseries/tswucoveragedtp1.html

2. Timeliness and Completion Rate of Immunization among Nigerian Children Attending a Clinic-based Immunization Service

3. Amazon.com recommendations: item-to-item collaborative filtering

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