59 citations · 59 across the 5 of their papers we have counts for
8 papers
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray
Jingxin Liu, Bolei Xu, Chi Zheng +7
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain…
Attributes for Causal Inference in Longitudinal Observational Databases
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
The pharmaceutical industry is plagued by the problem of side effects that can occur anytime a prescribed medication is ingested. There has been a recent interest in using the vast…
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs
Jenna M. Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
Background: Children are frequently prescribed medication off-label, meaning there has not been sufficient testing of the medication to determine its safety or effectiveness. The m…
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
Drugs are frequently prescribed to patients with the aim of improving each patient's medical state, but an unfortunate consequence of most prescription drugs is the occurrence of u…
Comparison of algorithms that detect drug side effects using electronic healthcare databases
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
The electronic healthcare databases are starting to become more readily available and are thought to have excellent potential for generating adverse drug reaction signals. The Heal…
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification
Chris Roadknight, Uwe Aickelin, Alex Ladas +3
In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insigh…
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detect…
Discovering Sequential Patterns in a UK General Practice Database
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin +3
The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be…