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Patient Selection

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Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

Open heart Jun 1, 2020
OBJECTIVE: Electrical cardioversion is frequently performed to restore sinus rhythm in patients with persistent atrial fibrillation (AF). However, AF recurs in many patients and identifying the patients who benefit from electrical cardioversion is di...
Middle Aged Risk Assessment Treatment Outcome Recovery of Function Clinical Decision-Making Female Aged Male Heart Disease Risk Factors Recurrence Electric Countershock Clinical Decision Rules Predictive Value of Tests Patient Selection Atrial Fibrillation Sex Factors Humans Machine Learning Retrospective Studies
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Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis.

Clinical and translational gastroenterology Apr 1, 2020
OBJECTIVES: We lack reliable methods for identifying patients with chronic pancreatitis (CP) at increased risk for pancreatic cancer. We aimed to identify radiographic parameters associated with pancreatic cancer in this population.
Aged Aged, 80 and over Adult Male Retrospective Studies Tomography, X-Ray Computed Electronic Health Records Female Pancreatic Neoplasms Natural Language Processing Registries Patient Selection Middle Aged Risk Assessment Incidence Early Detection of Cancer Humans Pancreas Pancreatitis, Chronic
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Artificial intelligence: the future of urinary stone management?

Current opinion in urology Mar 1, 2020
PURPOSE OF REVIEW: To investigate the application of artificial intelligence in the management of nephrolithiasis.
Clinical Competence Nephrolithiasis Patient Selection Inventions Urolithiasis Algorithms Prognosis Humans Endoscopy Artificial Intelligence Diagnosis, Computer-Assisted
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Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

Clinical orthopaedics and related research Feb 1, 2020
BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative management of metastatic bone disease of the extremities. Several tools have been developed for this purpose, but there is room for improvement. Machine learn...
Time Factors Treatment Outcome Bone Neoplasms Predictive Value of Tests Patient Selection Orthopedic Procedures Boston Aged Male Middle Aged Risk Assessment Female Reproducibility of Results Risk Factors Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making
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Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center.

JCO clinical cancer informatics Jan 1, 2020
PURPOSE: Less than 5% of patients with cancer enroll in clinical trials, and 1 in 5 trials are stopped for poor accrual. We evaluated an automated clinical trial matching system that uses natural language processing to extract patient and trial chara...
Humans Clinical Trials as Topic Middle Aged Aged Eligibility Determination Artificial Intelligence Early Detection of Cancer Aged, 80 and over Machine Learning Community Networks Natural Language Processing Adult Female Patient Selection Breast Neoplasms
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Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused on identifying which patients in a corpus of longitudinal medical records meet and do not meet identified selection criteria.
Patient Selection Humans Data Mining Machine Learning Datasets as Topic Natural Language Processing Clinical Trials as Topic
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Cohort selection for clinical trials using deep learning models.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langu...
Humans Neural Networks, Computer Deep Learning Natural Language Processing Patient Selection Data Mining Clinical Trials as Topic
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Natural Language Processing Patient Selection Data Mining Clinical Trials as Topic Neural Networks, Computer Machine Learning Deep Learning Logistic Models Humans Classification
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Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In this era of digitized health records, there has been a marked interest in using de-identified patient records for conducting various health related surveys. To assist in this research effort, we developed a novel clinical data represent...
Clinical Trials as Topic Support Vector Machine Humans Natural Language Processing Neural Networks, Computer Deep Learning Patient Selection Data Mining
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Patient Selection Data Mining Clinical Trials as Topic Electronic Data Processing Machine Learning Electronic Health Records Mental Health Natural Language Processing Humans Neural Networks, Computer
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