TY - GEN
T1 - COVID-19 Patient Recovery Prediction Using Efficient Logistic Regression Model
AU - Trivedi, Shrawan Kumar
AU - Kumar, Rajiv
AU - Dey, Shubhamoy
AU - Chaudhary, Amit Kumar
AU - Zhang, Justin Zuopeng
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
KW - COVID-19
KW - Efficient logistic regression
KW - Machine learning
KW - Predicting patient recovery
UR - http://www.scopus.com/inward/record.url?scp=85149616198&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149616198&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-22018-0_13
DO - 10.1007/978-3-031-22018-0_13
M3 - Literary contribution
AN - SCOPUS:85149616198
SN - 9783031220173
T3 - Lecture Notes in Networks and Systems
SP - 134
EP - 149
BT - International Conference on Cyber Security, Privacy and Networking, ICSPN 2022
A2 - Nedjah, Nadia
A2 - Martínez Pérez, Gregorio
A2 - Gupta, B.B.
T2 - International Conference on Cyber Security, Privacy and Networking, ICSPN 2022
Y2 - 9 September 2021 through 11 September 2021
ER -