AIMC Topic: Tissue and Organ Procurement

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Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation.

PloS one May 21, 2021
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a...
Histocompatibility Testing Support Vector Machine Data Interpretation, Statistical Bayes Theorem Liver Transplantation Transplant Recipients Tissue and Organ Procurement Databases, Factual Tissue Donors Logistic Models Humans
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Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method.

BMC medical informatics and decision making Sep 6, 2019
BACKGROUND: Kidney allocation is a multi-criteria and complex decision-making problem, which should also consider ethical issues in addition to the medical aspects. Leading countries in this field use a point scoring system to allocate kidneys. Hence...
Uncertainty Resource Allocation Algorithms Kidney Transplantation Fuzzy Logic Iran Tissue and Organ Procurement Decision Making Patient Selection Humans
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Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database.

Journal of cardiac failure Feb 6, 2019
BACKGROUND: Traditional statistical approaches to prediction of outcomes have drawbacks when applied to large clinical databases. It is hypothesized that machine learning methodologies might overcome these limitations by considering higher-dimensiona...
Humans Neural Networks, Computer Machine Learning Forecasting Tissue and Organ Procurement Databases, Factual Heart Transplantation Survival Rate United States
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An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach.

Health care management science Aug 9, 2017
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rap...
Life Expectancy Health Care Rationing Fuzzy Logic Iran Tissue and Organ Procurement Humans Time Factors Kidney Transplantation Models, Theoretical Reproducibility of Results Age Factors
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Robotic-assisted kidney transplantation: our first case.

World journal of urology Aug 28, 2015
PURPOSE: Kidney transplantation is the preferred treatment for patients with end-stage renal disease. In order to reduce the morbidity of the open surgery, a robotic-assisted approach has been recently introduced. According to the published literatur...
Operative Time Robotics Living Donors Nephrectomy Female Humans Adult Kidney Failure, Chronic Kidney Transplantation Follow-Up Studies Laparoscopy Tissue and Organ Procurement
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Accept/decline decision module for the liver simulated allocation model.

Health care management science Aug 30, 2014
Simulated allocation models (SAMs) are used to evaluate organ allocation policies. An important component of SAMs is a module that decides whether each potential recipient will accept an offered organ. The objective of this study was to develop and t...
Models, Statistical Computer Simulation Humans Data Interpretation, Statistical Tissue and Organ Procurement Logistic Models Artificial Intelligence Transplant Recipients Liver Algorithms
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Machine Learning for Predicting Waitlist Mortality in Pediatric Heart Transplantation.

Pediatric transplantation Jun 1, 2025
BACKGROUND: Waitlist mortality remains a critical issue for pediatric heart transplant (HTx) candidates, particularly for candidates with congenital heart disease. Listing center organ offer acceptance practices have been identified as a factor influ...
Risk Factors Male Infant Retrospective Studies Female Infant, Newborn Humans Tissue and Organ Procurement Machine Learning Waiting Lists Adolescent Heart Transplantation Child, Preschool Heart Defects, Congenital Child
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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data.

BMJ open May 16, 2025
OBJECTIVES: In lung transplantation (LTx), a priority is assigned to each candidate on the waiting list. Our primary objective was to identify the key factors that influence the allocation of priorities in LTx using machine learning (ML) techniques t...
Databases, Factual Female Male Middle Aged Humans Machine Learning Waiting Lists Multivariate Analysis Lung Transplantation Transplant Recipients Tissue and Organ Procurement
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Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Organ procurement organizations (OPOs) play a crucial role in the field of organ transplantation, serving as key intermediaries in the process of organ donation. However, despite their vital function, there exists a pressing issue of transparency wit...
Tissue Donors Organ Transplantation Tissue and Organ Procurement Humans Machine Learning Donor Selection
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Clinical Information Extraction with Large Language Models: A Case Study on Organ Procurement.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical information extraction from unstructured text. However, existing approaches have largely ignored the extraction of numeric information such as laboratory t...
Natural Language Processing Large Language Models Tissue and Organ Procurement Humans Information Storage and Retrieval
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