AIMC Topic: Young Adult

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Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting.

PloS one
BACKGROUND: There are no widely used models in clinical care to predict outcome in acute lower gastro-intestinal bleeding (ALGIB). If available these could help triage patients at presentation to appropriate levels of care/intervention and improve me...

Computerized measures of visual complexity.

Acta psychologica
Visual complexity influences people's perception of, preference for, and behaviour toward many classes of objects, from artworks to web pages. The ability to predict people's impression of the complexity of different kinds of visual stimuli holds, th...

The application of fuzzy statistics and linear discriminant analysis as criteria for optimizing the preparation of plasma for matrix-assisted laser desorption/ionization mass spectrometry peptide profiling.

Clinica chimica acta; international journal of clinical chemistry
An alternative bioinformatics approach based on fuzzy theory statistics and linear discriminant analysis is proposed for the interpretation of MALDI MS spectra in peptide profiling. When applied, the methodology enables the establishment of a reprodu...

Predicting Complete Ground Reaction Forces and Moments During Gait With Insole Plantar Pressure Information Using a Wavelet Neural Network.

Journal of biomechanical engineering
In general, three-dimensional ground reaction forces (GRFs) and ground reaction moments (GRMs) that occur during human gait are measured using a force plate, which are expensive and have spatial limitations. Therefore, we proposed a prediction model ...

Robot-Assisted Ureteral Reconstruction Using Buccal Mucosa.

Urology
OBJECTIVE: To describe the technique of robotic buccal mucosa graft ureteroplasty as a minimally invasive alternative method of ureteral reconstruction for proximal or multifocal ureteral strictures not amenable to primary anastomosis.

A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect.

PLoS biology
Neuroimaging has identified many correlates of emotion but has not yet yielded brain representations predictive of the intensity of emotional experiences in individuals. We used machine learning to identify a sensitive and specific signature of emoti...

Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy.

Computers in biology and medicine
BACKGROUND: This study sought to predict postsurgical seizure freedom from pre-operative diagnostic test results and clinical information using a rapid automated approach, based on supervised learning methods in patients with drug-resistant focal sei...

Blurring the boundaries between frame-based and frameless stereotaxy: feasibility study for brain biopsies performed with the use of a head-mounted robot.

Journal of neurosurgery
OBJECT: Frame-based stereotactic interventions are considered the gold standard for brain biopsies, but they have limitations with regard to flexibility and patient comfort because of the bulky head ring attached to the patient. Frameless image guida...

Machine learning on encephalographic activity may predict opioid analgesia.

European journal of pain (London, England)
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficient effect to the opioid initially selected by the physician, and there is an urgent need for biomarkers to select responders to the most appropriate dr...

Does preoperative diabetes mellitus affect weight loss outcome after biliopancreatic diversion with duodenal switch?

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Preoperative type 2 diabetes mellitus (T2 DM) has previously been reported as an independent predictor for suboptimal (≤40%) weight loss after Roux-en-Y gastric bypass in patients with T2 DM compared with patients who do not have T2 DM. T...