AIMC Topic: Clinical Trials as Topic
Clear Filters Showing 151 to 160 of 249 articles
The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.
Medical physics
Aug 24, 2018
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients' clinical data is an appealing, low-cost and noninvasive approach toward personalization. Machine learning algorithms could be ...
Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.
Journal of clinical epidemiology
Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach.
BioMed research international
Apr 23, 2018
The aim of this report is to unveil specific prognostic factors for retroperitoneal sarcoma (RPS) patients by univariate and multivariate statistical techniques. A phase I-II study on localized RPS treated with high-dose ifosfamide and radiotherapy f...
Machine learning in cardiovascular medicine: are we there yet?
Heart (British Cardiac Society)
Jan 19, 2018
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encompassing sev...
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.
Computational and mathematical methods in medicine
Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Potassium
Anti-Arrhythmia Agents
Calcium
Arrhythmias, Cardiac
Action Potentials
Models, Statistical
Regression Analysis
Heart
Observer Variation
Clinical Trials as Topic
Cell Membrane
Risk
Humans
Ions
Artificial Intelligence
Sodium
Software
Programming Languages
Algorithms
Myocytes, Cardiac
Reproducibility of Results
Electrocardiography
Electrophysiology
Terfenadine
Network science in clinical trials: A patient-centered approach.
Seminars in cancer biology
Dec 24, 2017
There has been a paradigm shift in translational oncology with the advent of novel molecular diagnostic tools in the clinic. However, several challenges are associated with the integration of these sophisticated tools into clinical oncology and daily...
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...
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...
CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice.
CPT: pharmacometrics & systems pharmacology
Mar 13, 2017
Despite the existence of various databases cataloging cancer drugs, there is an emerging need to support the development and application of personalized therapies, where an integrated understanding of the clinical factors and drug mechanism of action...
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...
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