AIMC Topic: Sensitivity and Specificity

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Identification of Incidental Pulmonary Nodules in Free-text Radiology Reports: An Initial Investigation.

Studies in health technology and informatics Jan 1, 2015
Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the management of incidental pulmonary nodules (IPNs) a challenging task. This research aims to identify IPNs in...
Vocabulary, Controlled Humans Sensitivity and Specificity Natural Language Processing Machine Learning Illinois Diagnosis, Computer-Assisted Data Mining Reproducibility of Results Radiography, Abdominal Pilot Projects Terminology as Topic Incidental Findings Decision Support Systems, Clinical Radiology Information Systems
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Thermal Signal Analysis for Breast Cancer Risk Verification.

Studies in health technology and informatics Jan 1, 2015
Breast cancer is the second most common cancer in the world. Currently, there are no effective methods to prevent this disease. However, early diagnosis increases chances of remission. Breast thermography is an option to be considered in screening st...
Thermography Humans Female Machine Learning Risk Assessment Reproducibility of Results Algorithms Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Breast Neoplasms Infrared Rays
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A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder.

Studies in health technology and informatics Jan 1, 2015
Bipolar Disorder (BD) is a chronic and disabling disease that usually appears around 20 to 30 years old. Patients who suffer with BD may struggle for years to achieve a correct diagnosis, and only 50% of them generally receive adequate treatment. In ...
Logistic Models Recurrence Humans Machine Learning Diagnosis, Computer-Assisted Algorithms Depression Bipolar Disorder Decision Support Systems, Clinical Computer Simulation Reproducibility of Results Sensitivity and Specificity
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On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms.

Studies in health technology and informatics Jan 1, 2015
The quantification of fat depots on the surroundings of the heart is an accurate procedure for evaluating health risk factors correlated with several diseases. However, this type of evaluation is not widely employed in clinical practice due to the re...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Subtraction Technique Adipose Tissue Mediastinum Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Pericardium
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Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach.

Studies in health technology and informatics Jan 1, 2015
Perioperative bleeding (PB) is associated with increased patient morbidity and mortality, and results in substantial health care resource utilization. To assess bleeding risk, a routine practice in most centers is to use indicators such as elevated v...
Blood Transfusion International Normalized Ratio Pattern Recognition, Automated Electronic Health Records Reproducibility of Results Risk Factors Sensitivity and Specificity Prevalence Decision Support Systems, Clinical Treatment Outcome Blood Loss, Surgical Humans Machine Learning
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Automated Detection of Postoperative Surgical Site Infections Using Supervised Methods with Electronic Health Record Data.

Studies in health technology and informatics Jan 1, 2015
The National Surgical Quality Improvement Project (NSQIP) is widely recognized as "the best in the nation" surgical quality improvement resource in the United States. In particular, it rigorously defines postoperative morbidity outcomes, including su...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Supervised Machine Learning Data Mining Surgical Wound Infection Humans Electronic Health Records Reproducibility of Results Sensitivity and Specificity
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Automated Learning of Temporal Expressions.

Studies in health technology and informatics Jan 1, 2015
Clinical notes contain important temporal information that are critical for making clinical diagnosis and treatment as well as for retrospective analyses. Manually created regular expressions are commonly used for the extraction of temporal informati...
Semantics Terminology as Topic Vocabulary, Controlled Chronology as Topic Sensitivity and Specificity Time Factors Natural Language Processing Data Mining Machine Learning Electronic Health Records Reproducibility of Results
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Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics Jan 1, 2015
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...
Sensitivity and Specificity Diagnosis, Computer-Assisted Depression Decision Support Systems, Clinical Humans Machine Learning Electronic Health Records Reproducibility of Results Natural Language Processing Data Mining Boston
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Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.

Studies in health technology and informatics Jan 1, 2015
Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection fraction assessments, accurate classification of their contextual use is necessary to filt...
Sensitivity and Specificity Humans Natural Language Processing Heart Failure Stroke Volume Machine Learning Diagnosis, Computer-Assisted Data Mining Electronic Health Records Decision Support Systems, Clinical Vocabulary, Controlled Reproducibility of Results
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Sampling from Determinantal Point Processes for Scalable Manifold Learning.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
High computational costs of manifold learning prohibit its application for large datasets. A common strategy to overcome this problem is to perform dimensionality reduction on selected landmarks and to successively embed the entire dataset with the N...
Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Signal Processing, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Pattern Recognition, Automated Algorithms Radiographic Image Enhancement Computer Simulation Head and Neck Neoplasms Models, Statistical Sample Size Data Interpretation, Statistical
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