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Multiple logistic regression models to predict being an HBL..:

Sofie Marijke Braet (11675480) ; Anouk van Hooij (4676032) ; Epco Hasker (116130)...
https://figshare.com/articles/dataset/Multiple_logistic_regression_models_to_predict_being_an_HBL-patient_/16984001. , 2021

Link: https://doi.org/10.1371/journal.pntd.0009924.t006

RT Journal
T1 <Title>Multiple logistic regression models to predict being an HBL-patient</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16984001&Exemplar=1&LAN=DE
				
A1 Sofie Marijke Braet (11675480)
A1 Anouk van Hooij (4676032)
A1 Epco Hasker (116130)
A1 Erik Fransen (125418)
A1 Abdou Wirdane (11675483)
A1 Abdallah Baco (11675486)
A1 Saverio Grillone (11675489)
A1 Nimer Ortuno-Gutierrez (2993319)
A1 Younoussa Assoumani (11675492)
A1 Aboubacar Mzembaba (11675495)
A1 Paul Corstjens (4886041)
A1 Leen Rigouts (62768)
A1 Annemieke Geluk (168840)
A1 Bouke Catherine de Jong (4557247)
YR 2021
K1 Medicine
K1 Microbiology
K1 Biotechnology
K1 Immunology
K1 Developmental Biology
K1 Cancer
K1 Infectious Diseases
K1 Virology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 world health organization
K1 without microbiological confirmation
K1 high bacterial burden
K1 clinical cardinal signs
K1 bacterial load measured
K1 bacterial load determined
K1 2017 – 2018
K1 invasive nasal swab
K1 slit skin smears
K1 div >< p
K1 minimally invasive sampling
K1 fingerstick blood samples
K1 identify leprosy patients
K1 comoros </ p
K1 fingerstick blood
K1 nasal swabs
K1 skin biopsy
K1 skin biopsies
K1 strong correlation
K1 specific antibodies
K1 results show
K1 ongoing transmission
K1 may lead
K1 leprosy patients
K1 leprae </
K1 lacks sensitivity
K1 igm levels
K1 hansen '
K1 first study
K1 entirely based
K1 endorsed diagnosis
K1 demonstrated potential
K1 counting lesions
K1 comlep study
K1 also known
K1 310 patients
K1 151 )
K1 000 bacilli
JF https://figshare.com/articles/dataset/Multiple_logistic_regression_models_to_predict_being_an_HBL-patient_/16984001
LK http://dx.doi.org/https://doi.org/10.1371/journal.pntd.0009924.t006
DO https://doi.org/10.1371/journal.pntd.0009924.t006
SF ELIB - SuUB Bremen

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