1066. Precision phenotyping of “long COVID” through machine learning

Nusrat J Epsi; David A Lindholm; Anuradha Ganesan; Tahaniyat Lalani; Alfred G Smith; Rupal Mody; Milissa Jones; Samantha Bazan; Rhonda E Colombo; Christopher Colombo

1066. Precision phenotyping of “long COVID” through machine learning

Nusrat J Epsi, David A Lindholm, Anuradha Ganesan, Tahaniyat Lalani, Alfred G Smith, Rupal Mody, Milissa Jones, Samantha Bazan, Rhonda E Colombo, Christopher Colombo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	Undefined/Unknown
Title of host publication	Open Forum Infectious Diseases
Pages	ofac492-907
Volume	9
State	Published - 2022

Cite this

@inproceedings{62a16f3545d74f54a597ba7e2462de08,

title = "1066. Precision phenotyping of “long COVID” through machine learning",

author = "Epsi, {Nusrat J} and Lindholm, {David A} and Anuradha Ganesan and Tahaniyat Lalani and Smith, {Alfred G} and Rupal Mody and Milissa Jones and Samantha Bazan and Colombo, {Rhonda E} and Christopher Colombo",

year = "2022",

language = "Undefined/Unknown",

volume = "9",

pages = "ofac492--907",

booktitle = "Open Forum Infectious Diseases",

}

TY - GEN

T1 - 1066. Precision phenotyping of “long COVID” through machine learning

AU - Epsi, Nusrat J

AU - Lindholm, David A

AU - Ganesan, Anuradha

AU - Lalani, Tahaniyat

AU - Smith, Alfred G

AU - Mody, Rupal

AU - Jones, Milissa

AU - Bazan, Samantha

AU - Colombo, Rhonda E

AU - Colombo, Christopher

PY - 2022

Y1 - 2022

M3 - Conference contribution

VL - 9

SP - ofac492-907

BT - Open Forum Infectious Diseases

ER -