AIMC Topic:
Predictive Value of Tests
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Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.
Journal of affective disorders
Jun 10, 2015
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.
Computers in biology and medicine
Jun 10, 2015
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures and 1h EEG and ECG recordings 24h after birth were obtained from 38 newborns with different grades of...
Diagnostic Prediction for Social Anxiety Disorder via Multivariate Pattern Analysis of the Regional Homogeneity.
BioMed research international
Jun 9, 2015
Although decades of efforts have been spent studying the pathogenesis of social anxiety disorder (SAD), there are still no objective biological markers that could be reliably used to identify individuals with SAD. Studies using multivariate pattern a...
Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.
Infection control and hospital epidemiology
May 29, 2015
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...
Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques.
Computers in biology and medicine
May 29, 2015
Bladder cancer is a common cancer in genitourinary malignancy. For muscle invasive bladder cancer, surgical removal of the bladder, i.e. radical cystectomy, is in general the definitive treatment which, unfortunately, carries significant morbidities ...
Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.
International journal of methods in psychiatric research
May 21, 2015
The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning...
An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis.
Artificial intelligence in medicine
May 14, 2015
OBJECTIVE: The existing methods of fuzzy soft sets in decision making are mainly based on different kinds of level soft sets, and it is very difficult for decision makers to select a suitable level soft set in most instances. The goal of this paper i...
Predicting pathological outcomes in patients undergoing robot-assisted radical prostatectomy for high-risk prostate cancer: a preoperative nomogram.
BJU international
May 11, 2015
OBJECTIVE: To identify which high-risk patients with prostate cancer may harbour favourable pathological outcomes at radical prostatectomy (RP).
Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.
Journal of vascular surgery
May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Tennessee
Heart Arrest
Unconsciousness
Aortic Rupture
Shock
Multivariate Analysis
Odds Ratio
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Treatment Outcome
Age Factors
Predictive Value of Tests
Risk Factors
Aortic Aneurysm, Abdominal
Aged
Algorithms
Area Under Curve
Aged, 80 and over
Risk Assessment
Decision Support Techniques
Male
Humans
Time Factors
Databases, Factual
Neural Networks, Computer
Hospital Mortality
Retrospective Studies
ROC Curve
Female
Logistic Models
Middle Aged
Anatomical features of skull base and oral cavity: a pilot study to determine the accessibility of the sella by transoral robotic-assisted surgery.
Neurosurgical review
May 1, 2015
The role of transoral robotic surgery (TORS) in the skull base emerges and represents the natural progression toward miniinvasive resections in confined spaces. The accessibility of the sella via TORS has been recently described on fresh human cadave...
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