X
Record #54132

Prediction of patient's neurological recovery from cervical spinal cord injury through XGBoost learning approach

Publisher
Springer
Original paper date
Apr 15, 2023
Institution
Department of ECE, Vardhaman College of Engineering, Hyderabad, India · Department of CSE, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India · Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522302, India · Department of Physics, College of Education, Salahaddin University-Erbil, Erbil, Kurdistan Region, 44002, Iraq · Institute of Theoretical Electrical Engineering, Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, 44801, Bochum, Germany · Department of Electrical and Electronic Engineering, Jashore University of Science and Technology, Jashore, 7408, Bangladesh · Electronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, 32951, Egypt · Department of VLSI Microelectronics, Institute of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, 602105, India
Open access
No
Article type
Research Article
Broad categories
(B/T) Technology(HSC) Biostatistics/Epidemiology(HSC) Medicine - Neurology
Citation lifecycle

How this paper is being cited

Pre-retraction
5
Same day
0
Post-retraction
4
% post-retraction
44.4%
~4.7 citations/yr before retraction · ~1.7 citations/yr after
— citing papers

Who is still citing this work

Loading…
Back to browse