A. Richardson

发表

An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection.

T. Badrick, Peter Hobson, B. Lidbury, 2019, 1907.09637.

A simulation model to estimate the risk of transfusion-transmitted arboviral infection.

B. Biggerstaff, B. Lidbury, M. Gahan, 2016, Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis.

Comorbidity of postural orthostatic tachycardia syndrome and chronic fatigue syndrome in an Australian cohort

D. P. Lewis, B. Lidbury, D. Lewis, 2014, Journal of internal medicine.

The Effect of Multiple Imputation of Routine Pathology Variables on Laboratory Diagnosis of Hepatitis C Infection

B. Lidbury, A. Richardson, N. Menon, 2022, 2205.01855.

One Health Approach: A Data-Driven Priority for Mitigating Outbreaks of Emerging and Re-Emerging Zoonotic Infectious Diseases

B. Lidbury, A. Richardson, K. Roper, 2021, Tropical medicine and infectious disease.

Deconfounding confounding part 3: controlling for confounding in statistical analyses

G. Joshy, A. Richardson, 2020, The Medical journal of Australia.

Vitamin D testing: Impact of changes to testing guidelines on detection of patients at risk of vitamin D deficiency

T. Badrick, B. Lidbury, G. Ward, 2020, Annals of clinical biochemistry.

The kinetics of haemoglobin and ferritin in longitudinal community patients with iron deficiency or hypoxia

T. Badrick, B. Lidbury, A. Richardson, 2017, Diagnosis.

All about love and big data

T. Badrick, A. Richardson, 2018, Journal of Laboratory and Precision Medicine.

Enhanced laboratory diagnosis of human Chlamydia pneumoniae through pattern recognition derived from pathology database analysis

S. Hawkins, D. Sharma, J. Fulcher, 2008, PRIB 2008.

Textual analysis of clinical notes on pathology request forms to determine sensitivity and specificity of Hepatitis B and C virus infection status

B. Lidbury, A. Richardson, Eric H. Kim, 2022, 2202.13489.

Hepatitis B virus infection in Nigeria: a systematic review and meta-analysis of data published between 2010 and 2019

B. Lidbury, M. Sheel, A. Richardson, 2021, BMC Infectious Diseases.

Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining

S. Easteal, B. Lidbury, S. Ohms, 2013, Journal of medical virology.

Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data

Brett A. Lidbury, Alice M. Richardson, B. Lidbury, 2013, BMC Bioinformatics.

Weighting of orthostatic intolerance time measurements with standing difficulty score stratifies ME/CFS symptom severity and analyte detection

D. P. Lewis, B. Lidbury, M. Hedger, 2018, Journal of Translational Medicine.

Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity

D. P. Lewis, Donald P. Lewis, B. Lidbury, 2019, Diagnostics.

The development of a machine learning algorithm for early detection of viral hepatitis B infection in Nigerian patients

B. Lidbury, M. Sheel, B. Salako, 2023, Scientific Reports.

Higher Dimensions : Machine-Learning and Enhanced Prediction from Routine Clinical Chemistry Data

Tony Badrick, Brett A Lidbury, T. Badrick, 2016 .

The early detection of anaemia and aetiology prediction through the modelling of red cell distribution width (RDW) in cross-sectional community patient data

T. Badrick, B. Lidbury, A. Richardson, 2015, Diagnosis.

Weighting of orthostatic intolerance time measurements with standing difficulty score stratifies ME/CFS symptom severity and analyte detection

D. P. Lewis, Donald P. Lewis, B. Lidbury, 2018, Journal of Translational Medicine.

Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

Brett A. Lidbury, Alice M. Richardson, B. Lidbury, 2017, BMC Medical Informatics and Decision Making.

Assessment of machine-learning techniques on large pathology data sets to address assay redundancy in routine liver function test profiles

Tony Badrick, Brett A Lidbury, T. Badrick, 2015, Diagnosis.

Comorbidity of postural orthostatic tachycardia syndrome and chronic fatigue syndrome in an Australian cohort

Donald P. Lewis, B. Lidbury, A. Richardson, 2014, Journal of internal medicine.

Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact.

A. Richardson, A. Salako, B. Ajuwon, 2023, International journal of medical informatics.

Routine blood test markers for predicting liver disease post HBV infection: precision pathology and pattern recognition

A. Richardson, B. Ajuwon, Katrina Roper, 2023, Diagnosis.

A Pattern Recognition Bioinformatics Alternative System to Rodent Models in Fundamental Research

B. Lidbury, A. Richardson, 2012 .