RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data

Heet Sankesara, Yatharth Ranjan, Pauline Conde, Zulqarnain Zulqarnain, Akash Roy Choudhury, Amos Folarin

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	International Journal of Population Data Science
Volume	9
Issue number	4
DOIs	https://doi.org/10.23889/ijpds.v9i4.2421
Publication status	Published - 2024

Access to Document

@article{67a48996bdda4aaa944b5d20dbf75434,

title = "RADAR-Pipeline: Scalable Feature Generation for Mobile Health Data",

author = "Heet Sankesara and Yatharth Ranjan and Pauline Conde and Zulqarnain Zulqarnain and Choudhury, {Akash Roy} and Amos Folarin",

year = "2024",

doi = "10.23889/ijpds.v9i4.2421",

language = "English",

volume = "9",

journal = "International Journal of Population Data Science",

issn = "2399-4908",

publisher = "Swansea University",

number = "4",

}

TY - JOUR

T1 - RADAR-Pipeline

T2 - Scalable Feature Generation for Mobile Health Data

AU - Sankesara, Heet

AU - Ranjan, Yatharth

AU - Conde, Pauline

AU - Zulqarnain, Zulqarnain

AU - Choudhury, Akash Roy

AU - Folarin, Amos

PY - 2024

Y1 - 2024

UR - http://www.scopus.com/inward/record.url?scp=85196487005&partnerID=8YFLogxK

U2 - 10.23889/ijpds.v9i4.2421

DO - 10.23889/ijpds.v9i4.2421

M3 - Article

AN - SCOPUS:85196487005

SN - 2399-4908

VL - 9

JO - International Journal of Population Data Science

JF - International Journal of Population Data Science

IS - 4

ER -