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.
Huvudupphovsmän: | Hussain, Nadib, Islam, Tanvir, Apu, Rafik Un Nabi |
---|---|
Övriga upphovsmän: | Chakrabarty, Amitabha |
Materialtyp: | Lärdomsprov |
Språk: | English |
Publicerad: |
BRAC University
2018
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/10965 |
Liknande verk
-
Assessment of knowledge and attitude of adverse Ddug reactions among healthcare professionals in Bangladesh
av: Paul, Sanjoy Kumer
Publicerad: (2021) -
Cross-sectional survey to assess the knowledge, attitude and practice regarding adverse drug reactions of students of a private university
av: Islam, Tarikul
Publicerad: (2021) -
Investigation of adverse effects of oral voriconazole in the treatment of fungal infection using The FDA Adverse Event Reporting System (FAERS)
av: Onanna, Kazi
Publicerad: (2024) -
A short review on additional therapeutic effects and adverse effects of sedative and hypnotic drugs
av: Tisha, Sadia Sultana
Publicerad: (2021) -
Pharmacoepidemiology and pharmacovigilance : synergistic tools to better Investigate drug safety /
av: Nour, Sabrina
Publicerad: (2019)