A Machine Learning Method for Drug Combination Prediction
نویسندگان
چکیده
منابع مشابه
A Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملTransparent Machine Learning Algorithm Offers Useful Prediction Method for Natural Gas Density
Machine-learning algorithms aid predictions for complex systems with multiple influencing variables. However, many neural-network related algorithms behave as black boxes in terms of revealing how the prediction of each data record is performed. This drawback limits their ability to provide detailed insights concerning the workings of the underlying system, or to relate predictions to specific ...
متن کاملDrug Discovery by Machine Learning Method
The aim of this work is to create a one-class classification model using the method of support vector clustering and evaluate its usefulness in drug discovery. The one-class classification model is tested on both sonar data and 5-HT2A-binding compound data. From the results, 88.99 % accuracy is obtained for sonar data and 93.269 % testing accuracy is obtained for classification of 5-HT2Abinding...
متن کاملHypertension Prediction in Primary School Students Using an Ensemble Machine Learning Method
Introduction: The prevalence of hypertension in children is increasing, and this complication is considered the most important risk factor for cardiovascular diseases in older age. Early detection and control of hypertension can prevent its progress and reduce its consequences. Machine learning methods can help predict this complication promptly and reduce cost and time. This study aimed to pro...
متن کاملHypertension Prediction in Primary School Students Using an Ensemble Machine Learning Method
Introduction: The prevalence of hypertension in children is increasing, and this complication is considered the most important risk factor for cardiovascular diseases in older age. Early detection and control of hypertension can prevent its progress and reduce its consequences. Machine learning methods can help predict this complication promptly and reduce cost and time. This study aimed to pro...
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: Frontiers in Genetics
سال: 2020
ISSN: 1664-8021
DOI: 10.3389/fgene.2020.01000