Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features

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Bibliographic Details
Main Authors: Richa Gupta, Mansi Bhandari, Anhad Grover, Taher Al-shehari, Mohammed Kadrie, Taha Alfakih, Hussain Alsalman
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BioData Mining
Online Access:https://doi.org/10.1186/s13040-025-00423-2
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author Richa Gupta
Mansi Bhandari
Anhad Grover
Taher Al-shehari
Mohammed Kadrie
Taha Alfakih
Hussain Alsalman
author_facet Richa Gupta
Mansi Bhandari
Anhad Grover
Taher Al-shehari
Mohammed Kadrie
Taha Alfakih
Hussain Alsalman
author_sort Richa Gupta
collection DOAJ
format Article
id doaj-art-6fcfe1f77712460aad20fe267fbceb1f
institution Kabale University
issn 1756-0381
language English
publishDate 2025-01-01
publisher BMC
record_format Article
series BioData Mining
spelling doaj-art-6fcfe1f77712460aad20fe267fbceb1f2025-01-19T12:12:46ZengBMCBioData Mining1756-03812025-01-011811110.1186/s13040-025-00423-2Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical featuresRicha Gupta0Mansi Bhandari1Anhad Grover2Taher Al-shehari3Mohammed Kadrie4Taha Alfakih5Hussain Alsalman6Department of Computer Science and Engineering, School of Engineering Sciences and TechnologyDepartment of Computer Science and Engineering, School of Engineering Sciences and TechnologyDepartment of Computer Science and Engineering, School of Engineering Sciences and TechnologyComputer Skills, Department of Self-Development Skill, Common First Year Deanship, King Saud UniversityComputer Skills, Department of Self-Development Skill, Common First Year Deanship, King Saud UniversityDepartment of Information Systems, College of Computer and Information Sciences, King Saud UniversityDepartment of Computer Science, College of Computer and Information Sciences, King Saud Universityhttps://doi.org/10.1186/s13040-025-00423-2
spellingShingle Richa Gupta
Mansi Bhandari
Anhad Grover
Taher Al-shehari
Mohammed Kadrie
Taha Alfakih
Hussain Alsalman
Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
BioData Mining
title Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
title_full Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
title_fullStr Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
title_full_unstemmed Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
title_short Correction: Predictive modeling of ALS progression: an XGBoost approach using clinical features
title_sort correction predictive modeling of als progression an xgboost approach using clinical features
url https://doi.org/10.1186/s13040-025-00423-2
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AT anhadgrover correctionpredictivemodelingofalsprogressionanxgboostapproachusingclinicalfeatures
AT taheralshehari correctionpredictivemodelingofalsprogressionanxgboostapproachusingclinicalfeatures
AT mohammedkadrie correctionpredictivemodelingofalsprogressionanxgboostapproachusingclinicalfeatures
AT tahaalfakih correctionpredictivemodelingofalsprogressionanxgboostapproachusingclinicalfeatures
AT hussainalsalman correctionpredictivemodelingofalsprogressionanxgboostapproachusingclinicalfeatures