Eligibility Requirements in Hypnotic Trials

Revised eligibility requirements for ambulatory care.

Learning Eligibility in Clinical Cancer Trials using Deep Neural Networks

Interventional cancer clinical trials are generally too restrictive and some patients are often excluded from them on the basis of comorbidity, past or concomitant treatments and the fact that they are over a certain age. The efficacy and safety of new treatments for patients with these characteristics are not, therefore, defined. In this work, we build a model with which to automatically predi...

Analysis of Eligibility Criteria Complexity in Clinical Trials

Formal, computer-interpretable representations of eligibility criteria would allow computers to better support key clinical research and care use cases such as eligibility determination. To inform the development of such formal representations for eligibility criteria, we conducted this study to characterize and quantify the complexity present in 1000 eligibility criteria randomly selected from...

Desiderata for Major Eligibility Criteria in Breast Cancer Clinical Trials

Use of major eligibility criteria is a popular but unstudied folk practice for improving patient screening efficiency for clinical studies. This mixed-methods research study derived the desiderata for major eligibility criteria in breast cancer clinical trials. We randomly selected thirty interventional breast cancer clinical trials conducted at The New York-Presbyterian Hospital on the Columbi...

Semantic query generation from eligibility criteria in clinical trials.

Towards the goal of automated eligibility determination for clinical trials from electronic health records, we propose a method to formulate Semantic Web based queries using the free-text eligibility criteria on clinicaltrials.gov.