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A Text Mining Protocol for Extracting Drug–Drug Interaction and Adverse Drug Reactions Specific to Patient Population, Pharmacokinetics, Pharmacodynamics, and Disease

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Biomedical Text Mining

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2496))

Abstract

Drug-drug interactions (DDIs) and adverse drug reactions (ADR) are experienced by many patients, especially by elderly population due to their multiple comorbidities and polypharmacy. Databases such as PubMed contain hundreds of abstracts with DDI and ADR information. PubMed is being updated every day with thousands of abstracts. Therefore, manually retrieving the data and extracting the relevant information is tedious task. Hence, automated text mining approaches are required to retrieve DDI and ADR information from PubMed. Recently we developed a hybrid approach for predicting DDI and ADR information from PubMed. There are many other existing approaches for retrieving DDI and ADR information from PubMed. However, none of the approaches are meant for retrieving DDI and ADR specific to patient population, gender, pharmacokinetics, and pharmacodynamics. Here, we present a text mining protocol which is based on our recent work for retrieving DDI and ADR information specific to patient population, gender, pharmacokinetics, and pharmacodynamics from PubMed.

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Authors and Affiliations

  1. College of Pharmacy, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia

    Mohamed Saleem Abdul Shukkoor

  2. Regenerative Biology, Morgridge Institute for Research, Madison, WI, USA

    Kalpana Raja

  3. Department of Human Anatomy, Faculty of Medicine and Health Sciences, University Putra Malaysia (UPM), Serdang, Selangor, Malaysia

    Mohamad Taufik Hidayat Baharuldin

  4. Unit of Physiology, Department of Preclinical, Faculty of Medicine and Defence Health, National Defence University of Malaysia,, Kuala Lumpur, Malaysia

    Mohamad Taufik Hidayat Baharuldin

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  1. Mohamed Saleem Abdul Shukkoor
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  2. Mohamad Taufik Hidayat Baharuldin
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  3. Kalpana Raja
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Editors and Affiliations

  1. Morgridge Institute for Research, University of Wisconsin, Madison, WI, USA

    Kalpana Raja

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Shukkoor, M.S.A., Baharuldin, M.T.H., Raja, K. (2022). A Text Mining Protocol for Extracting Drug–Drug Interaction and Adverse Drug Reactions Specific to Patient Population, Pharmacokinetics, Pharmacodynamics, and Disease. In: Raja, K. (eds) Biomedical Text Mining. Methods in Molecular Biology, vol 2496. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2305-3_14

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  • DOI: https://doi.org/10.1007/978-1-0716-2305-3_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2304-6

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