A diagnostic algorithm for classifying chronic rhinosinusitis demonstrated utility in determining refractoriness and recurrence risk for the condition, according to recent findings. Shigeharu Fujieda, ...

June 22, 2010 (Boca Raton, Florida) — Measuring the coefficient of variation (CV) in the ratio between the level of lithium in the serum and the dose of lithium (L/D ratio) that has actually been ...

WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in patients ...

Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of ...

An algorithm is given for the computation of the recessive solution of a second-order linear difference equation, based upon a combination of algorithms due to J. C. P. Miller and F. W. J. Olver. A ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

Using billing or treatment codes to select patients with recurrent cancer can be misleading for researchers hoping to study the effectiveness of treatments, according to a study published recently in ...

Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers from Children's ...

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...