Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect
نویسندگان
چکیده
منابع مشابه
Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machine learning-based in vitro system designed to detect seizure-inducing side effects. We recorded local field potentials from the CA1 alveus in acute ...
متن کاملAdverse Drug Event prediction combining shallow analysis and machine learning
The aim of this work is to infer a model able to extract cause-effect relations between drugs and diseases. A two-level system is proposed. The first level carries out a shallow analysis of Electronic Health Records (EHRs) in order to identify medical concepts such as drug brandnames, substances, diseases, etc. Next, all the combination pairs formed by a concept from the group of drugs (drug an...
متن کاملthe effect of lexically based language teaching (lblt) on vocabulary learning among iranian pre-university students
هدف پژوهش حاضر بررسی تاثیر روش تدریس واژگانی (واژه-محور) بر یادگیری لغات در بین دانش آموزان دوره پیش دانشگاهی است. بدین منظور دو گروه از دانش آموزان دوره پیش دانشگاهی (شصت نفر) که در سال تحصیلی 1389 در شهرستان نور آباد استان لرستان مشغول به تحصیل بودند انتخاب شده و به صورت قراردادی گروه آزمایش و گواه در نظر گرفته شدند. در ابتدا به منظور اطمینان یافتن از میزان همگن بودن دو گروه از دانش واژگان، آ...
15 صفحه اولMachine Learning Based Drug Indication Prediction Using Linked Open Data
In this study, drug and disease features were obtained by querying open linked data to train our classifier for predicting new drug indications, and the predictive performance of the classifier for different validation schemes was evaluated. We collected the drug and disease data from Bio2RDF, an open source project that uses semantic web technologies to link data from multiple sources. A binar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: YAKUGAKU ZASSHI
سال: 2018
ISSN: 0031-6903,1347-5231
DOI: 10.1248/yakushi.17-00213-1