AIMC Topic: Sensitivity and Specificity

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Rule-based Cervical Spine Defect Classification Using Medical Narratives.

Studies in health technology and informatics Jan 1, 2015
Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process requires evidence from patient records. Further, the degree of a defect needs to be encoded in a stand...
Decision Support Systems, Clinical Narration Natural Language Processing Cervical Vertebrae Knowledge Bases Humans Spinal Stenosis Machine Learning Biological Ontologies Electronic Health Records Algorithms Terminology as Topic Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted
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Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules.

Studies in health technology and informatics Jan 1, 2015
The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of communication of these important findings can result in important actionable information being lost in hea...
Humans Vocabulary, Controlled Data Mining Diagnosis, Computer-Assisted Machine Learning Illinois Referral and Consultation Pilot Projects Radiography, Abdominal Reproducibility of Results Terminology as Topic Decision Support Systems, Clinical Incidental Findings Sensitivity and Specificity Radiology Information Systems Natural Language Processing
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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...
Data Mining Terminology as Topic Radiology Information Systems Vocabulary, Controlled Illinois Radiography, Abdominal Incidental Findings Diagnosis, Computer-Assisted Pilot Projects Humans Decision Support Systems, Clinical Machine Learning Natural Language Processing Reproducibility of Results Sensitivity and Specificity
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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...
Humans Pattern Recognition, Automated Infrared Rays Thermography Sensitivity and Specificity Machine Learning Breast Neoplasms Algorithms Risk Assessment Female Image Interpretation, Computer-Assisted Reproducibility of Results
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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 ...
Bipolar Disorder Humans Decision Support Systems, Clinical Sensitivity and Specificity Machine Learning Logistic Models Diagnosis, Computer-Assisted Algorithms Recurrence Computer Simulation Depression Reproducibility of Results
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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...
Pattern Recognition, Automated Pericardium Subtraction Technique Mediastinum Humans Machine Learning Algorithms Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Adipose Tissue Radiographic Image Interpretation, Computer-Assisted
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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...
Humans Machine Learning Electronic Health Records Reproducibility of Results Treatment Outcome Blood Loss, Surgical Blood Transfusion International Normalized Ratio Risk Factors Sensitivity and Specificity Prevalence Decision Support Systems, Clinical Pattern Recognition, Automated
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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...
Data Mining Humans Sensitivity and Specificity Surgical Wound Infection Electronic Health Records Diagnosis, Computer-Assisted Reproducibility of Results Decision Support Systems, Clinical Supervised Machine Learning
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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...
Chronology as Topic Data Mining Semantics Terminology as Topic Machine Learning Vocabulary, Controlled Electronic Health Records Reproducibility of Results Sensitivity and Specificity Time Factors Natural Language Processing
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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...
Humans Machine Learning Electronic Health Records Decision Support Systems, Clinical Natural Language Processing Data Mining Boston Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Depression
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