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

Kalyani, P; Manasa, Y; Ahammad, Sk Hasane; Suman, M; Anwer, Twana Mohammed Kak; Hossain, Md Amzad; Rashed, Ahmed Nabih Zaki

Kalyani, P; Manasa, Y; Ahammad, Sk Hasane; Suman, M; Anwer, Twana Mohammed Kak; Hossain, Md Amzad; Rashed, Ahmed Nabih Zaki.

Afiliação

Kalyani P; Department of ECE, Vardhaman College of Engineering, Hyderabad, India.
Manasa Y; Department of CSE, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India.
Ahammad SH; Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522302, India.
Suman M; Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522302, India.
Anwer TMK; Department of Physics, College of Education, Salahaddin University-Erbil, Erbil, Kurdistan Region, 44002, Iraq.
Hossain MA; Institute of Theoretical Electrical Engineering, Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, 44801, Bochum, Germany. mahossain.eee@gmail.com.
Rashed ANZ; Department of Electrical and Electronic Engineering, Jashore University of Science and Technology, Jashore, 7408, Bangladesh. mahossain.eee@gmail.com.

Eur Spine J ; 33(7): 2932, 2024 Jul.

Article em En | MEDLINE | ID: mdl-38724778

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Eur Spine J / Eur. spine j / European spine journal Assunto da revista: ORTOPEDIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google