AIMC Topic: Patient Selection

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Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

The journal of prevention of Alzheimer's disease
BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (AD) remains a major challenge, with demand for trial participants at an all-time high. The AD treatment R and D pipeline includes around 112 agents. I...

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical i...

EliIE: An open-source information extraction system for clinical trial eligibility criteria.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop an open-source information extraction system called Eligibility Criteria Information Extraction (EliIE) for parsing and formalizing free-text clinical research eligibility criteria (EC) following Observational Medical Outcomes P...

Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
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...

[The mathematical approaches to differential diagnostics of acute pharyngeal diseases].

Vestnik otorinolaringologii
The objective of the present study was to elaborate the program for differential diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial neuronal network. The study group was formed by means of sampling patients with acute pharyn...

[Application of the mathematical model for prognosis in the rehabilitation of children after cochlear implantation].

Vestnik otorinolaringologii
UNLABELLED: Despite the variety of etiological factors, cochlear implantation (CI) remains the only effective method for the rehabilitation of the patients presenting with total deafness. The aim of this study was the enhancement of the efficiency of...

Implementation of a User-Friendly, Flexible Expert System for Selecting Optimal Set of Kidney Exchange Combinations of Patients in a Transplantation Center.

Transplantation proceedings
INTRODUCTION: For end-stage renal disease patients, kidney transplantation is the only long-term solution. The number of deceased donors is limited. Living kidney donation is subject to strict regulations, limiting possible donors only to the extende...

Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.

Studies in health technology and informatics
Clinical trials are studies designed to assess whether a new intervention is better than the current alternatives. However, most of them fail to recruit participants on schedule. It is hard to use Electronic Health Record (EHR) data to find eligible ...