Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact
出版年份 2023 全文链接
标题
Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Volume 179, Issue -, Pages 105244
出版商
Elsevier BV
发表日期
2023-10-05
DOI
10.1016/j.ijmedinf.2023.105244
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine learning algorithms for predicting direct‐acting antiviral treatment failure in chronic hepatitis C : An HCV‐TARGET analysis
- (2022) Haesuk Park et al. HEPATOLOGY
- Global, regional, and national disability‐adjusted life years due to HIV from 1990 to 2019: findings from the Global Burden of Disease Study 2019
- (2021) Jiayuan Wu et al. TROPICAL MEDICINE & INTERNATIONAL HEALTH
- Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach
- (2021) Xueying Yang et al. AIDS
- Factors influencing the failure of interferon-free therapy for chronic hepatitis C: Data from the Polish EpiTer-2 cohort study
- (2021) Ewa Janczewska et al. WORLD JOURNAL OF GASTROENTEROLOGY
- A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China
- (2021) Yi Yin et al. Biomed Research International
- Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests
- (2021) Jasmine Ye Nakayama et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Optimizing Hepatitis B Virus Screening in the United States Using a Simple Demographics‐Based Model
- (2021) Nathan S. Ramrakhiani et al. HEPATOLOGY
- An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B
- (2021) Hwi Young Kim et al. JOURNAL OF HEPATOLOGY
- Designing a Predictive Model for Antiretroviral Regimen at the Antiretroviral Therapy Center in Chiro Hospital, Ethiopia
- (2021) Gadissa Nemomsa et al. Journal of Healthcare Engineering
- Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy
- (2021) Eli Ipp et al. JAMA Network Open
- A classifier to predict viral control after antiretroviral treatment interruption in chronic HIV-1 infected patients
- (2020) Csaba FehÉr et al. JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES
- Machine Learning Prediction Models for Diagnosing Hepatocellular Carcinoma with HCV-related Chronic Liver Disease
- (2020) Somaya Hashem et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Predictive Analytics for Retention in Care in an Urban HIV Clinic
- (2020) Arthi Ramachandran et al. Scientific Reports
- Serum metabolite profiles are associated with the presence of advanced liver fibrosis in Chinese patients with chronic hepatitis B viral infection
- (2020) Guoxiang Xie et al. BMC Medicine
- Personalized surveillance for hepatocellular carcinoma in cirrhosis – using machine learning adapted to HCV status
- (2020) Etienne Audureau et al. JOURNAL OF HEPATOLOGY
- Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
- (2020) Viknesh Sounderajah et al. NATURE MEDICINE
- A systematic review of machine learning models for predicting outcomes of stroke with structured data
- (2020) Wenjuan Wang et al. PLoS One
- Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data
- (2020) Orla M. Doyle et al. Scientific Reports
- Machine learning prediction in cardiovascular diseases: a meta-analysis
- (2020) Chayakrit Krittanawong et al. Scientific Reports
- TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models
- (2020) Amir H Zamanipoor Najafabadi et al. BMJ Open
- Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis
- (2020) George N. Ioannou et al. JAMA Network Open
- Artificial intelligence, bias and clinical safety
- (2019) Robert Challen et al. BMJ Quality & Safety
- Reporting of artificial intelligence prediction models
- (2019) Gary S Collins et al. LANCET
- Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance
- (2019) Xiaolu Tian et al. Computational and Mathematical Methods in Medicine
- Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients
- (2019) Wei Wei et al. Computational and Mathematical Methods in Medicine
- The Value of Automated Diabetic Retinopathy Screening With the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes
- (2019) Malavika Bhaskaranand et al. Diabetes Technology & Therapeutics
- Accuracy of Computer-Aided Diagnosis of Melanoma
- (2019) Vincent Dick et al. JAMA Dermatology
- Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study
- (2019) Douglas S Krakower et al. Lancet HIV
- Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed
- (2019) NATURE MEDICINE
- Biomarkers panels can predict fatigue, depression and pain in persons living with HIV: A pilot study
- (2019) Julie A. Zuñiga et al. APPLIED NURSING RESEARCH
- Differentiation of Type 1 and Type 2 Myocardial Infarctions among HIV-infected patients requires adjudication due to overlap in risk factors
- (2018) Robin Nance et al. AIDS RESEARCH AND HUMAN RETROVIRUSES
- Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement
- (2018) Pauline Heus et al. BMC Medicine
- Skin Cancer Classification using Convolutional Neural Networks: Systematic Review (Preprint)
- (2018) Titus Josef Brinker et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
- (2018) Milena A. Gianfrancesco et al. JAMA Internal Medicine
- Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning
- (2018) Runmin Wei et al. EBioMedicine
- Unintended Consequences of Machine Learning in Medicine
- (2017) Federico Cabitza et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Enhancing Next‐Generation Sequencing‐Guided Cancer Care Through Cognitive Computing
- (2017) Nirali M. Patel et al. ONCOLOGIST
- Assessing risk of fibrosis progression and liver-related clinical outcomes among patients with both early stage and advanced chronic hepatitis C
- (2017) Monica A. Konerman et al. PLoS One
- 1,500 scientists lift the lid on reproducibility
- (2016) Monya Baker NATURE
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
- (2015) Karel G.M. Moons et al. ANNALS OF INTERNAL MEDICINE
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
- (2015) Gary S Collins et al. BMC Medicine
- External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
- (2014) Gary S Collins et al. BMC Medical Research Methodology
- Serum peptide pattern that differentially diagnoses hepatitis B virus-related hepatocellular carcinoma from liver cirrhosis
- (2014) Na Wang et al. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
- Artificial Neural Network Accurately Predicts Hepatitis B Surface Antigen Seroclearance
- (2014) Ming-Hua Zheng et al. PLoS One
- Classification Models for Neurocognitive Impairment in HIV Infection Based on Demographic and Clinical Variables
- (2014) Jose A. Muñoz-Moreno et al. PLoS One
- 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
- (2013) Alice M Richardson et al. BMC BIOINFORMATICS
- An MLP Classifier for Prediction of HBV-Induced Liver Cirrhosis Using Routinely Available Clinical Parameters
- (2013) Yuan Cao et al. DISEASE MARKERS
- Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings
- (2013) A. D. Revell et al. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining
- (2013) Guifang Shang et al. JOURNAL OF MEDICAL VIROLOGY
- Two Classifiers Based on Serum Peptide Pattern for Prediction of HBV-Induced Liver Cirrhosis Using MALDI-TOF MS
- (2013) Yuan Cao et al. Biomed Research International
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation