AIMC Topic: Predictive Value of Tests

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Evaluation and Prediction of Early Alzheimer's Disease Using a Machine Learning-based Optimized Combination-Feature Set on Gray Matter Volume and Quantitative Susceptibility Mapping.

Current Alzheimer research Jan 1, 2020
BACKGROUND: Because Alzheimer's Disease (AD) has very complicated pattern changes, it is difficult to evaluate it with a specific factor. Recently, novel machine learning methods have been applied to solve limitations.
Gray Matter Cerebral Cortex Cognitive Dysfunction Brain Mapping Female Aged Predictive Value of Tests Aged, 80 and over Alzheimer Disease Male Middle Aged Humans Machine Learning Prospective Studies
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Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.
Pregnancy Female Risk Factors Adult Support Vector Machine Predictive Value of Tests Blood Pressure Hemodynamics Socioeconomic Factors Humans Algorithms Gestational Age Pulse Wave Analysis Radial Artery Body Weight Hematologic Tests Data Mining Hypertension, Pregnancy-Induced Early Diagnosis
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Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: The ideal participants for Alzheimer's disease (AD) clinical trials would show cognitive decline in the absence of treatment (i.e., placebo arm) and also would be responsive to the therapeutic intervention being studied (i.e., drug arm). ...
Magnetic Resonance Imaging Predictive Value of Tests Neuroimaging Sample Size Humans Alzheimer Disease Clinical Trials as Topic Sensitivity and Specificity Machine Learning Clinical Trials, Phase III as Topic Male Reproducibility of Results Mental Status and Dementia Tests Algorithms Databases, Factual Cognitive Dysfunction Aged Follow-Up Studies Female Research Design Aged, 80 and over
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A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis Jan 1, 2020
Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presents early after trauma and impacts approximately 30% of severely injured patients who are admitted to emergency departments (EDs). Given that conventio...
Emergencies Predictive Value of Tests International Normalized Ratio Blood Coagulation Disorders Adult Male Middle Aged Risk Assessment Wounds and Injuries Algorithms Female Hospitalization Humans Machine Learning
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High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.

JAMA cardiology Jan 1, 2020
This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.
Reproducibility of Results Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Female Face Proof of Concept Study Electrocardiography Predictive Value of Tests Atrial Fibrillation Video Recording Middle Aged Case-Control Studies Deep Learning Photoplethysmography
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Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

The American journal of gastroenterology Jan 1, 2020
OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies h...
Colonic Polyps Narrow Band Imaging Time Factors Population Surveillance Humans Adenoma Algorithms Predictive Value of Tests Point-of-Care Systems Forecasting Colonoscopy Colorectal Neoplasms Deep Learning
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Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

JAMA otolaryngology-- head & neck surgery Jan 1, 2020
IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm.
Humans Machine Learning Risk Assessment Thyroid Neoplasms Ultrasonography Thyroid Nodule Predictive Value of Tests Female Sensitivity and Specificity Male Middle Aged
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Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.

The Journal of bone and joint surgery. American volume Dec 18, 2019
BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals depends on the manual abstraction of medical records and, for research purposes, depends mainly on the use of administrative or claims data. The object...
ROC Curve Predictive Value of Tests Natural Language Processing Algorithms Surgical Wound Infection Young Adult Female Humans Orthopedic Procedures Adult Aged Male Middle Aged
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[Late gadolinium enhancement and T1 mapping for the diagnosis of cardiac amyloidosis].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2019
OBJECTIVE: To explore the role of late gadolinium enhancement (LGE) and T1 mapping for detection of cardiac amyloidosis.
Heart Humans Amyloidosis Contrast Media Gadolinium Predictive Value of Tests Myocardium
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Convolutional neural network for single-sensor acoustic localization of a transiting broadband source in very shallow water.

The Journal of the Acoustical Society of America Dec 1, 2019
When a broadband source of radiated noise transits past a fixed hydrophone, a Lloyd's mirror constructive/destructive interference pattern can be observed in the output spectrogram. By taking the spectrum of a (log) spectrum, the power cepstrum detec...
Water Sound Localization Neural Networks, Computer Predictive Value of Tests Noise Acoustics
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