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Patient Selection

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Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Identifying patients who meet selection criteria for clinical trials is typically challenging and time-consuming. In this article, we describe our clinical natural language processing (NLP) system to automatically assess patients' eligibil...
Patient Selection Data Mining Clinical Trials as Topic Neural Networks, Computer Deep Learning Natural Language Processing Humans
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Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did n...
Clinical Trials as Topic Patient Selection Humans Data Mining Machine Learning Pattern Recognition, Automated Natural Language Processing
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Optimizing clinical trials recruitment via deep learning.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex and expensive proce...
Humans Databases, Factual Data Mining Research Personnel Clinical Trials as Topic Insurance Claim Reporting Electronic Health Records Deep Learning Patient Selection
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Use of Artificial Intelligence to Represent Emergent Systems and Augment Surgical Decision-making.

JAMA surgery Sep 1, 2019
Humans Artificial Intelligence Intensive Care Units Risk Assessment Emergencies United States Patient Selection Clinical Decision-Making Female Male Surgical Procedures, Operative Surgery Department, Hospital
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Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.

JACC. Cardiovascular interventions Jul 22, 2019
Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to funda...
Diffusion of Innovation Therapy, Computer-Assisted Cardiac Catheterization Unsupervised Machine Learning Predictive Value of Tests Robotics Workflow Supervised Machine Learning Humans Cardiovascular Diseases Patient Selection Diagnosis, Computer-Assisted Deep Learning Machine Learning Decision Support Techniques Clinical Decision-Making
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Criteria2Query: a natural language interface to clinical databases for cohort definition.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2019
OBJECTIVE: Cohort definition is a bottleneck for conducting clinical research and depends on subjective decisions by domain experts. Data-driven cohort definition is appealing but requires substantial knowledge of terminologies and clinical data mode...
Natural Language Processing Patient Selection Databases as Topic Eligibility Determination Information Storage and Retrieval Clinical Trials as Topic Humans Machine Learning User-Computer Interface
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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 Jan 1, 2019
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...
Aged Aged, 80 and over Male Middle Aged Diagnosis, Computer-Assisted Patient Selection Machine Learning Algorithms Female Humans Alzheimer Disease Early Diagnosis Prodromal Symptoms
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Does global oncology need artificial intelligence?

The Lancet. Oncology May 1, 2018
Therapy, Computer-Assisted Delivery of Health Care, Integrated Humans Decision Support Systems, Clinical Artificial Intelligence Patient Selection Clinical Decision-Making Decision Support Techniques Medical Oncology Global Health Neoplasms
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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 May 1, 2018
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...
State Medicine Clinical Trials as Topic Humans United Kingdom Information Storage and Retrieval Electronic Health Records Semantics Natural Language Processing Patient Selection
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EliIE: An open-source information extraction system for clinical trial eligibility criteria.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
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...
Patient Selection Humans Clinical Trials as Topic Machine Learning Eligibility Determination Natural Language Processing
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