An Ontology and Rule-Based Clinical Decision Support System for Personalized Nutrition Recommendations in the Neonatal Intensive Care Unit

Author:

Kaur Ravneet1,Jain Monika2,McAdams Ryan M.3ORCID,Sun Yao4,Gupta Shubham5,Mutharaju Raghava2ORCID,Cho Su Jin6ORCID,Saluja Satish7ORCID,Palma Jonathan P.8,Kaur Avneet9,Singh Harpreet5ORCID

Affiliation:

1. Child Health Imprints (CHIL) Pte. Ltd., Madison, Singapore

2. Department of Computer Science, Indraprastha Institute of Information Technology Delhi, New Delhi, India

3. Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA

4. Division of Neonatology, University of California at San Francisco, San Francisco, CA, USA

5. Child Health Imprints (CHIL) Inc., Madison, WI, USA

6. College of Medicine, Ewha Womans University, Seoul, South Korea

7. Department of Neonatology, Sir Ganga Ram Hospital, New Delhi, India

8. Orlando Health Winnie Palmer Hospital for Women & Babies, Orlando, FL, USA

9. Department of Neonatology, Apollo Cradle Hospital, New Delhi, India

Funder

Child Health Imprints (CHIL) Inc., USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

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