Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Application of an expert system in the management of HIV-infected patients.

Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association - 15 Aug 1997

Pazzani M J, See D, Schroeder E, Tilles J

Abstract excerpt

A rule-based expert system, Customized Treatment Strategies for HIV (CTSHIV), which encodes information from the literature on known drug-resistant mutations was developed. Additional rules include ranking and weighting based on antiviral activities, redundant mechanisms of action, overlapping toxicities, relative levels of drug-resistance, and proportion of drug-resistant clones in the HIV quasispecies. Plasma...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Anti-HIV Agents
Share to Cloning, Molecular

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Drug Resistance

Share to Genes, pol

Share to HIV Infections

Share to Mutation

Share to Polymerase Chain Reaction

Source

Identifiers

PMID: 9342255
DOI: 10.1097/00042560-199708150-00005

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of an expert system in the management of HIV-infected patients.PMID 9342255Read ↗

Computer-Aided Optimization of Combined Anti-Retroviral Therapy for HIV: New Drugs, New Drug Targets and Drug Resistance.Semantic proximity Read ↗

Collaborative update of a rule-based expert system for HIV-1 genotypic resistance test interpretation.Semantic proximity Read ↗

HIV-GRADE: A Publicly Available, Rules-Based Drug Resistance Interpretation Algorithm Integrating Bioinformatic KnowledgeSemantic proximity Read ↗

Predicting response to antiretroviral treatment by machine learning: the EuResist project.Semantic proximity Read ↗

Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting.Semantic proximity Read ↗

The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool.Semantic proximity Read ↗

Impact of genotypic resistance testing on selection of salvage regimen in clinical practice.Semantic proximity Read ↗

Comparison of virtual phenotype and HIV-SEQ program (Stanford) interpretation for predicting drug resistance of HIV strains.Semantic proximity Read ↗

A case-based reasoning system for genotypic prediction of HIV-1 co-receptor tropism.Semantic proximity Read ↗

Comparison of a rule-based algorithm with a phenotype-based algorithm for the interpretation of HIV genotypes in guiding salvage regimens in HIV-infected patients by a randomized clinical trial: the mutations and salvage study.Semantic proximity Read ↗

Ensemble Classifiers for Predicting HIV-1 Resistance from Three Rule-Based Genotypic Resistance Interpretation Systems.Semantic proximity Read ↗

Construction, training and clinical validation of an interpretation system for genotypic HIV-1 drug resistance based on fuzzy rules revised by virological outcomes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.