Drug repurposing: Insights into current advances and future applications
T Bhatia, S Sharma - Current Medicinal Chemistry, 2025 - benthamdirect.com
Drug development is a complex and expensive process that involves extensive research
and testing before a new drug can be approved for use. This has led to a limited availability …
and testing before a new drug can be approved for use. This has led to a limited availability …
House prices prediction with machine learning algorithms
C Fan, Z Cui, X Zhong - Proceedings of the 2018 10th international …, 2018 - dl.acm.org
Based on the data set compiled by DD Cock and the competition run by kaggle. com, we
propose a house prices prediction algorithm in Ames, lowa by deliberating on data …
propose a house prices prediction algorithm in Ames, lowa by deliberating on data …
Machine learning and deep learning strategies in drug repositioning
Drug repositioning invovles exploring novel usages for existing drugs. It plays an important
role in drug discovery, especially in the pre-clinical stages. Compared with the traditional …
role in drug discovery, especially in the pre-clinical stages. Compared with the traditional …
Fast and Efficient Cavendish Banana Grade Classification using Random Forest Classifier with Synthetic Minority Oversampling Technique.
Cavendish banana is an important export product of many countries, while postharvest
banana classification also impacts plantation income. The quality inspection standard …
banana classification also impacts plantation income. The quality inspection standard …
A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases
Background and objective Drug-drug interaction (DDI) is one of the main causes of toxicity
and treatment inefficacy. This work focuses on non-communicable diseases (NCDs), the non …
and treatment inefficacy. This work focuses on non-communicable diseases (NCDs), the non …
Decision Support System for Drug-Drug Interaction Pertaining to COPD and its Comorbidities
S Anakal, P Sandhya - International Journal of Education and …, 2022 - search.proquest.com
Abstract A Drug-Drug Interaction is an alteration in the impact of a drug when consolidated
with another drug or group of drugs. Drug interactions are common and have caused …
with another drug or group of drugs. Drug interactions are common and have caused …
Ecg-based arrhythmia detection using average energy and zero-crossing features with support vector machine
N Chumrit, C Weangwan… - 2020-5th International …, 2020 - ieeexplore.ieee.org
Arrhythmia, a serious heart disease, is one of the main causes of sudden cardiac death
around the globe. Cardiac arrhythmias can occur to anyone and at any age. The …
around the globe. Cardiac arrhythmias can occur to anyone and at any age. The …
[PDF][PDF] 面向知识发现的模糊本体融合与推理模型研究
陆泉， 刘婷， 张良韬， 陈静 - 情报学报, 2021 - qbxb.istic.ac.cn
摘要现有知识发现研究难以兼顾不同领域知识的精准性与模糊性, 也缺乏描述和定义模糊本体的
语言工具, 本文从知识模糊性角度出发, 提出一种基于OWL (ontology web language) …
语言工具, 本文从知识模糊性角度出发, 提出一种基于OWL (ontology web language) …
[PDF][PDF] Application of Machine Learning in Knowledge Discovery for Pharmaceutical Drug-drug Interactions.
M Herrero-Zazo, M Lille, DJ Barlow - KDWeb, 2016 - researchgate.net
Artificial neural networks (ANNs) have been developed to predict the clinical significance of
drug-drug interactions (DDIs) for a set of 35 pharmaceutical drugs using data compiled from …
drug-drug interactions (DDIs) for a set of 35 pharmaceutical drugs using data compiled from …
Integrated action crossing method for Drug-Drug Interactions prediction in noncommunicable diseases based on neural networks
Drug-Drug Interactions (DDI) is a cause of treatment inefficacy and toxicity. The most DDI
involve drug metabolism which related to enzyme and transporter protein. Drug-enzyme …
involve drug metabolism which related to enzyme and transporter protein. Drug-enzyme …