Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization

Piyush Bhardwaja Centre for Advanced Computational Solutions (C-fACS), Department of Molecular Biosciences, Lincoln University, Lincoln, Christchurch, New ZealandCorrespondence[email protected] [email protected]

https://orcid.org/0000-0002-4093-9333

, MS

Ashish Tyagib Department of Forensic Medicine & Toxicology, SHKM Govt. Medical College, Nuh, Haryana, India

, MD, DNB,

Shashank Tyagic Department of Forensic Medicine & Toxicology, Lady Hardinge Medical College & Associated Hospitals, New Delhi, India

, MD, DNB,

Joana Antãod Lab3R-Respiratory Research and Rehabilitation Laboratory, School of Health Sciences (ESSUA), Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal;e Department of Research and Education, CIRO, Horn, The Netherlands

, MS &

Qichen Denge Department of Research and Education, CIRO, Horn, The Netherlands;f Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands;g Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Centre, Limburg, The Netherlands

, PhD

Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization

Supplementary.docx

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Machine learning model for classification of predominantly allergic and non-allergic asthma among preschool children with asthma hospitalization

Supplementary.docx

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date