AIMC Topic: Predictive Value of Tests

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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Circulation. Cardiovascular imaging Jun 1, 2016
BACKGROUND: Associating a patient's profile with the memories of prototypical patients built through previous repeat clinical experience is a key process in clinical judgment. We hypothesized that a similar process using a cognitive computing tool wo...
Pericarditis, Constrictive Myocardium Biopsy Feasibility Studies Echocardiography, Doppler Cardiomyopathy, Restrictive Aged Male Ventricular Function, Left Stroke Volume Middle Aged Case-Control Studies Pilot Projects ROC Curve Diagnosis, Differential Predictive Value of Tests Area Under Curve Humans Machine Learning Algorithms Decision Support Techniques Female Reproducibility of Results
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Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

JAMA psychiatry Jun 1, 2016
IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict a response to ECT remain unidentified.
Humans Machine Learning Prospective Studies Biomarkers Female Magnetic Resonance Imaging Predictive Value of Tests Combined Modality Therapy Antidepressive Agents Gyrus Cinguli Electroconvulsive Therapy Adult Male Middle Aged Depressive Disorder, Major Treatment Outcome
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Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Journal of healthcare engineering Jan 1, 2016
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...
Coronary Artery Disease Myocardial Infarction Middle Aged Heart Failure Length of Stay Patient Admission Neural Networks, Computer Humans Aged Treatment Outcome Aged, 80 and over Taiwan Young Adult Predictive Value of Tests Adult Male
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Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
Carcinoma, Ovarian Epithelial Immunoenzyme Techniques Neoplasms, Glandular and Epithelial Cystadenocarcinoma, Serous Databases, Genetic Ovarian Neoplasms Predictive Value of Tests Blotting, Western Neoplasm Staging Prognosis Female Survival Rate Biomarkers, Tumor Gene Expression Profiling Monitoring, Intraoperative Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction RNA, Messenger Gene Expression Regulation, Neoplastic Humans Support Vector Machine Machine Learning
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Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2016
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...
Humans Machine Learning Adult Survival Rate Sensitivity and Specificity Breast Neoplasms Male Middle Aged Female Reproducibility of Results Aged Aged, 80 and over Young Adult Diagnosis, Computer-Assisted Adolescent Models, Theoretical Early Detection of Cancer Predictive Value of Tests
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An approach to the diagnosis and management of a case presenting with recurrent hypomagnesemia secondary to the chronic use of a proton pump inhibitor.

Magnesium research Dec 1, 2015
PURPOSE: Magnesium is an important electrolyte for very many cell functions and its deficiency may lead to a wide spectrum of diseases. We report a clinical case of hypomagnesemia resulting from the chronic use of a proton pump inhibitor (PPI). PPIs ...
Arrhythmias, Cardiac Hypocalcemia Metabolic Diseases Down-Regulation Hypoparathyroidism Electrocardiography Humans Omeprazole Proton Pump Inhibitors Treatment Outcome Biomarkers Paresthesia Diagnosis, Differential Female Predictive Value of Tests Risk Factors Magnesium Aged
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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Humans Neural Networks, Computer Area Under Curve Child Linear Models Retrospective Studies Intensive Care Units, Pediatric Multivariate Analysis Young Adult ROC Curve Heart Arrest Infant Support Vector Machine Adolescent Decision Trees Child, Preschool Predictive Value of Tests
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Lymph Node Metastasis Status in Breast Carcinoma Can Be Predicted via Image Analysis of Tumor Histology.

Analytical and quantitative cytopathology and histopathology Oct 1, 2015
OBJECTIVE: To develop a method whereby axillary lymph node (ALN) metastasis can be predicted without ALN dissection, via computational image analysis of routinely acquired tumor histology.
Histological Techniques Humans Algorithms Breast Neoplasms Female Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Predictive Value of Tests
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Blood pressure and heart rate from the arterial blood pressure waveform can reliably estimate cardiac output in a conscious sheep model of multiple hemorrhages and resuscitation using computer machine learning approaches.

The journal of trauma and acute care surgery Oct 1, 2015
BACKGROUND: This study was a first step to facilitate the development of automated decision support systems using cardiac output (CO) for combat casualty care. Such systems remain a practical challenge in battlefield and prehospital settings. In thes...
Machine Learning Resuscitation Algorithms Traumatology Heart Rate Hemorrhage Decision Support Techniques Military Medicine Arterial Pressure Female Calibration Animals Hemodynamics Cardiac Output Blood Pressure Determination Sheep, Domestic Disease Models, Animal Predictive Value of Tests Pulse Wave Analysis
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An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images.

Journal of digital imaging Oct 1, 2015
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is required owing to the high incidence of breast cancer. Although various computer-aided diagnosis (CAD) systems have been developed to interpret ultras...
Middle Aged Adolescent ROC Curve Support Vector Machine Diagnosis, Differential Predictive Value of Tests Ultrasonography, Mammary Image Interpretation, Computer-Assisted Immune System Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Breast Neoplasms Humans Algorithms
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