Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Auteurs principaux: | Hussain, Nadib, Islam, Tanvir, Apu, Rafik Un Nabi |
---|---|
Autres auteurs: | Chakrabarty, Amitabha |
Format: | Thèse |
Langue: | English |
Publié: |
BRAC University
2018
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/10965 |
Documents similaires
-
Assessment of knowledge and attitude of adverse Ddug reactions among healthcare professionals in Bangladesh
par: Paul, Sanjoy Kumer
Publié: (2021) -
Cross-sectional survey to assess the knowledge, attitude and practice regarding adverse drug reactions of students of a private university
par: Islam, Tarikul
Publié: (2021) -
Investigation of adverse effects of oral voriconazole in the treatment of fungal infection using The FDA Adverse Event Reporting System (FAERS)
par: Onanna, Kazi
Publié: (2024) -
A short review on additional therapeutic effects and adverse effects of sedative and hypnotic drugs
par: Tisha, Sadia Sultana
Publié: (2021) -
Pharmacoepidemiology and pharmacovigilance : synergistic tools to better Investigate drug safety /
par: Nour, Sabrina
Publié: (2019)