Article

A Personalized Cancer Drug Recommendation System with Machine Learning

2024-04-17

Abstract excerpt

<title>Abstract</title> <p>The patient’s gene sequence provides valuable information for clinical medication. In practice, there are many different types of data on genes but they are not fully utilized. There are different mutation genes in different cases of cancer, in which there are correlations between them. The gene-based drug recommendation system can be used as an auxiliary tool for clinicians. However, t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 85b42ff3-45df-52b6-9a3c-5f9c6ebbb4c0
DOI: 10.21203/rs.3.rs-4254614/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Personalized Cancer Drug Recommendation System with Machine LearningDOI 10.21203/rs.3.rs-4254614/v1Read

Predicting Cancer Drug Response Using a Recommender SystemSemantic proximity Read

ITNR: Inversion Transformer-based Neural Ranking for Cancer Drug RecommendationsSemantic proximity Read

Improving Drug Response Prediction Using Dual Similarity RegularizationSemantic proximity Read

Joint Prediction of Adjuvant Therapy Response and Time-to-Response for Cancer Patients Using the Personalized-DrugRank MethodSemantic proximity Read

Mining drug-disease relationships as a complement to medical genetics-based drug repositioning: Where a recommendation system meets genome-wide association studies.Semantic proximity Read

Drug Response Prediction by Globally Capturing Drug and Cell Line Information in a Heterogeneous Network.Semantic proximity Read

ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer TherapySemantic proximity Read

A Machine Learning Framework for Predicting Drug-drug InteractionsSemantic proximity Read

Machine Learning Assisted Web Application for Identifying Beneficial Drug Candidates for Genetic Alterations in Cancer PatientsSemantic proximity Read

DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategiesSemantic proximity Read

lncRNA-disease association prediction based on optimizing measures of multi-graph regularized matrix factorization.Semantic proximity Read

The Game-Changing PGA Technology Harnesses Patient’s Gene Signature to Predict Drug Efficacy: A Reality CheckSemantic proximity Read