نتایج جستجو برای: drug side effects
تعداد نتایج: 2150288 فیلتر نتایج به سال:
original article introduction: antineoplastic drugs (ands) for the treatment of cancers could result in occupational exposure of nurses and consequent side effects. this study aimed to evaluate knowledge, attitude, and performance of oncology nurses and to survey nurses’ chemotherapy workload and the experienced side effects. method: a cross-sectional study was conducted at four hospitals of ...
BACKGROUND Adverse Drug Reactions are one of the leading causes of injury or death among patients undergoing medical treatments. Not all Adverse Drug Reactions are identified before a drug is made available in the market. Current post-marketing drug surveillance methods, which are based purely on voluntary spontaneous reports, are unable to provide the early indications necessary to prevent the...
Background: Choosing the right drug with the least side effects and highest effectiveness for the control of seizures in the elderly is important. The aim of this study was compare the efficacy of lamotrigine and levetiracetam in the management of epilepsy in the elderly.Methods: This study was performed as a double-blind randomized clinical trial in patients that referred to the neurologic cli...
Systemic drugs have been used widely in the treatment of many skin diseases. Although dermatologists are familiar with the guidelines of selecting appropriate patients and prescribing systemic drugs, their knowledge about the side effects and significant interactions of systemic drugs used in dermatology is more limited. So a short review on important drug interactions seems to be useful. Some ...
The drug development pipeline is long, very costly and can often end in failure. While more money and data has been put into developing new drugs, the number of approved drugs has not increased. Adverse side-effects during clinical trials are one of the reasons for nonapproval of a drug and they are detected late in the development pipeline, making them very costly. Predicting side-effects in a...
Prediction of adverse drug reactions is an important problem in drug discovery endeavors which can be addressed with data-driven strategies. SIDER is one of the most reliable and frequently used datasets for identification of key features as well as building machine learning models for side effects prediction. The inherently unbalanced nature of this data presents with a difficult multi-label m...
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