Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum.

Ullah, Ubaid; Tahir, Zarfishan; Qazi, Obaidullah; Mirza, Shaper; Cheema, M Imran

Ullah, Ubaid; Tahir, Zarfishan; Qazi, Obaidullah; Mirza, Shaper; Cheema, M Imran.

Afiliación

Ullah U; Department of Electrical Engineering, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan. Electronic address: ubaid.ullah@lums.edu.pk.
Tahir Z; Institute of Public Health, Lahore, Pakistan. Electronic address: ztahir1@yahoo.com.
Qazi O; Institute of Public Health, Lahore, Pakistan. Electronic address: obaidemail@gmail.com.
Mirza S; Department of Life Sciences, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan. Electronic address: shaper.mirza@lums.edu.pk.
Cheema MI; Department of Electrical Engineering, Syed Babar Ali School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan. Electronic address: Imran.cheema@lums.edu.pk.

Tuberculosis (Edinb) ; 136: 102251, 2022 09.

Article en En | MEDLINE | ID: mdl-36081251

Asunto(s)

Mycobacterium tuberculosis; Tuberculosis; Humanos; Aprendizaje Automático; Sensibilidad y Especificidad; Espectrometría Raman; Esputo; Tuberculosis/diagnóstico

Palabras clave

Optical probe; Optical sensor; Principal component analysis; Raman spectroscopy; Sputum; Tuberculosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tuberculosis / Mycobacterium tuberculosis Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Tuberculosis (Edinb) Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

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