Open AccessPredicting the Severity of Adverse Drug Reactions
Author(s) -
Sushmitha,
Sowmya,
Sushma Rao
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2063138
Subject(s) - drug , polypharmacy , medicine , drug reaction , adverse effect , recall , clinical trial , intensive care medicine , psychology , pharmacology , cognitive psychology
Polypharmacy, co-prescribing multiple medication, is implausibly common and infrequently ends up in drug interactions that may have adverse facet effects. Currently, to help doctors in prescribing treatments, clinical call systems fireplace alerts once drug mixtures area unit prescribed that have glorious reactions. Those alerts area unit supported drug interaction severity stored in databases like Lexi-Interact. However, Lexi-Interact severity, that is predicated on clinical trials and literature reviews, doesn't embrace all drug interactions tho' there are several prescribed drug mixtures that haven’t been lined by literature. This paper is enforced by coaching a model that has comparatively high accuracy and recall with glorious Lexi-Interact severity values, the goal would be to check it on drug interactions with glorious severity. Specifically, a drug combine would have a foreseen severity so a panel of clinical pharmacists, people acquainted with clinical outcomes of drug interactions, would rate the validity of that foreseen severity. We intend to realize such reactive medication and report them to the doctors.