AIMC Topic: Patient Selection

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Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.

The Annals of thoracic surgery Dec 21, 2017
BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovascular aortic repair (TEVAR) and open surgical repair (OSR) was performed to determine the appropriate treatment option for descending thoracic aortic a...
Propensity Score Treatment Outcome Patient Selection Aortic Aneurysm, Thoracic Endovascular Procedures Humans Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Logistic Models
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Artificial Intelligence in Medical Practice: The Question to the Answer?

The American journal of medicine Nov 7, 2017
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice rem...
Humans Artificial Intelligence Machine Learning Algorithms Natural Language Processing Patient Selection Clinical Trials as Topic Medical Errors Biostatistics Precision Medicine Electronic Health Records Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Chronic Disease
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Correcting Classifiers for Sample Selection Bias in Two-Phase Case-Control Studies.

Computational and mathematical methods in medicine Sep 24, 2017
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artificially enriched. This design can increase precision in association tests but distorts predictions when applying classifiers on nonstratified data. Sev...
Selection Bias Research Design Humans Computer Simulation Machine Learning Case-Control Studies Software Patient Selection Algorithms Hepatitis
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Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.

Journal of cardiovascular translational research Jun 5, 2017
Precision medicine requires clinical trials that are able to efficiently enroll subtypes of patients in whom targeted therapies can be tested. To reduce the large amount of time spent screening, identifying, and recruiting patients with specific subt...
Eligibility Determination Patient Selection Heart Failure Data Mining Clinical Trials as Topic Humans Algorithms Reproducibility of Results Phenotype Stroke Volume Electronic Health Records Echocardiography Predictive Value of Tests Natural Language Processing
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Automatic data source identification for clinical trial eligibility criteria resolution.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Clinical trial coordinators refer to both structured and unstructured sources of data when evaluating a subject for eligibility. While some eligibility criteria can be resolved using structured data, some require manual review of clinical notes. An i...
Humans Machine Learning Electronic Health Records Leukemia, Lymphocytic, Chronic, B-Cell Eligibility Determination Natural Language Processing Patient Selection Heart Failure Information Storage and Retrieval Clinical Trials as Topic
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An expert system for selecting wart treatment method.

Computers in biology and medicine Jan 6, 2017
As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Cons...
Humans Machine Learning Algorithms Adult Sensitivity and Specificity Outcome Assessment, Health Care Male Expert Systems Prognosis Middle Aged Therapy, Computer-Assisted Clinical Decision-Making Cryotherapy Decision Support Systems, Clinical Adolescent Female Warts Immunotherapy Reproducibility of Results Treatment Outcome Young Adult Patient Selection
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A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization.

Academic radiology Nov 23, 2016
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural la...
Support Vector Machine Magnetic Resonance Imaging Natural Language Processing Feasibility Studies Patient Selection Brain Diseases Clinical Protocols Health Priorities Retrospective Studies Female Humans Sensitivity and Specificity Algorithms Male Middle Aged
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Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals Nov 14, 2016
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...
Treatment Outcome Aortic Valve Predictive Value of Tests Coronary Angiography Creatinine Patient Selection Humans Mitral Valve Biomarkers Heart Valve Diseases Retrospective Studies Heart Valve Prosthesis Implantation Time-to-Treatment Acute Kidney Injury Renal Insufficiency Male Middle Aged Female Risk Assessment Risk Factors Time Factors Aged Hospital Mortality Aged, 80 and over
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Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.

Yearbook of medical informatics Nov 10, 2016
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP).
Data Mining Unified Medical Language System Algorithms Electronic Health Records Natural Language Processing Patient Selection Humans
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Sentinel Lymph Node Dissection to Select Clinically Node-negative Prostate Cancer Patients for Pelvic Radiation Therapy: Effect on Biochemical Recurrence and Systemic Progression.

International journal of radiation oncology, biology, physics Oct 19, 2016
PURPOSE: To assess the efficacy of robotic-assisted laparoscopic sentinel lymph node (SLN) dissection (SLND) to select those patients with prostate cancer (PCa) who would benefit from additional pelvic external beam radiation therapy and long-term an...
Sentinel Lymph Node Biopsy Lymphatic Irradiation Prostatic Neoplasms Neoplasm Staging Prostate-Specific Antigen Robotic Surgical Procedures Pelvis Androgen Antagonists Neoplasm Recurrence, Local Patient Selection Male Radiotherapy, Conformal Middle Aged Statistics, Nonparametric Humans Disease Progression Aged Nomograms Lymphatic Metastasis
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