AIMC Topic: Treatment Failure

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Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm.

International journal of mycobacteriology Jan 1, 2021
BACKGROUND: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the treatment is delayed. This study investigates the prediction of treatment failure of TB patients focusing on the features which contributes mostly for ...
Humans Forecasting Treatment Failure Myanmar Support Vector Machine Tuberculosis
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Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation Apr 1, 2017
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...
Male Middle Aged Adult Time Factors ROC Curve Risk Assessment Adolescent Reproducibility of Results Risk Factors Aged Young Adult Databases, Factual Female Donor Selection Victoria Decision Support Techniques Humans Machine Learning Algorithms Area Under Curve Liver Transplantation Patient Selection Treatment Failure Graft Survival Tissue Donors Predictive Value of Tests
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A mathematical framework for virtual IMRT QA using machine learning.

Medical physics Jul 1, 2016
PURPOSE: It is common practice to perform patient-specific pretreatment verifications to the clinical delivery of IMRT. This process can be time-consuming and not altogether instructive due to the myriad sources that may produce a failing result. The...
Machine Learning Neoplasms Regression Analysis Radiotherapy Planning, Computer-Assisted Humans Radiometry Radiotherapy, Intensity-Modulated Treatment Failure Quality Assurance, Health Care Radiotherapy Dosage
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Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring.

Journal of acquired immune deficiency syndromes (1999) May 1, 2015
OBJECTIVE: Regular HIV RNA testing for all HIV-positive patients on antiretroviral therapy (ART) is expensive and has low yield since most tests are undetectable. Selective testing of those at higher risk of failure may improve efficiency. We investi...
HIV Infections Anti-HIV Agents Middle Aged Assessment of Medication Adherence Drug Monitoring RNA, Viral Treatment Failure Cohort Studies Longitudinal Studies Prospective Studies Female Adult Male Artificial Intelligence Decision Support Techniques Humans
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