AIMC Topic: Predictive Value of Tests

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Development of New Diagnostic Techniques - Machine Learning.

Advances in experimental medicine and biology
Traditional diagnoses on addiction reply on the patients' self-reports, which are easy to be dampened by false memory or malingering. Machine learning (ML) is a data-driven procedure that learns algorithms from training data and makes predictions. It...

A neural network - based algorithm for predicting stone - free status after ESWL therapy.

International braz j urol : official journal of the Brazilian Society of Urology
OBJECTIVE: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidn...

Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Journal of Alzheimer's disease : JAD
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study.

Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.

Journal of nursing measurement
BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine lea...

Dilemma: Correlation Between Serum Level of Hepcidin and IL-6 in Anemic Myeloma Patients.

Medical archives (Sarajevo, Bosnia and Herzegovina)
INTRODUCTION: Anemia occurs in 60% to 80 % of patients with newly diagnosed myeloma multiplex (MM). The cause of anemia in MM is probably multi factorial and involved among the others hepcidin and some cytokines, especially interleukine-6. Anemia in ...

An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.

Oncotarget
Preoperatively predict the probability of Prostate cancer (PCa) biochemical recurrence (BCR) is of definite clinical relevance. The purpose of this study was to develop an imaging-based approach in the prediction of 3-years BCR through a novel suppor...