Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia

• Dyah Aryani Perwitasari ,

  Roles Conceptualization, Funding acquisition, Validation, Writing – original draft, Writing – review & editing

  * E-mail: dyah.perwitasari@pharm.uad.ac.id

  Affiliations Faculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, Mahadata, Bioinformatics and Precision Medicine in Pharmaceutical Care (MABIF Centre), Universitas Ahmad Dahlan, Yogyakarta, Indonesia

  https://orcid.org/0000-0002-2638-6664

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• Imaniar Noor Faridah,

  Roles Investigation, Project administration, Writing – review & editing

  Affiliations Faculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, Mahadata, Bioinformatics and Precision Medicine in Pharmaceutical Care (MABIF Centre), Universitas Ahmad Dahlan, Yogyakarta, Indonesia

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• Haafizah Dania,

  Roles Data curation, Formal analysis, Methodology

  Affiliations Faculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia, Mahadata, Bioinformatics and Precision Medicine in Pharmaceutical Care (MABIF Centre), Universitas Ahmad Dahlan, Yogyakarta, Indonesia

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• Didik Setiawan,

  Roles Resources, Software, Visualization

  Affiliation Faculty of Pharmacy, Universitas Muhammadiyah Purwokerto, Purwokerto, Indonesia

  https://orcid.org/0000-0001-9104-548X

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• Triantoro Safaria

  Roles Data curation, Methodology, Validation, Writing – review & editing

  Affiliation Faculty of Psychology, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

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