Akademik Veri Yönetim Sistemi
15. Tıp Bilişimi Kongresi, Trabzon, Türkiye, 30 - 31 Mayıs 2024, ss.306
Accurately predicting drug side effects is critical to ensuring patient safety
and optimizing health outcomes, while drug efficacy prediction plays a crucial role in
directing clinicians and patients to treatments that provide maximum benefit with
minimal side effects. This study used the pre-trained GPT-2 model by fine tuning to
analyze drug reviews. Our aim is to estimate side effects in three categories (mild,
severe and no side effects) and to classify effectiveness (ineffective, moderately
effective and highly effective) into three categories.
In conclusion, drug effectiveness and drug side effects prediction based on drug
reviews represents a promising paradigm in precision medicine. By integrating
advanced computational methods with clinical data, It can improve our understanding
of drug responses and provide personalized health care by tailoring treatments to
individual patient needs.