Publications by authors named "J L Lanchares"

This article proposes two ensemble neural network-based models for blood glucose prediction at three different prediction horizons-30, 60, and 120 min-and compares their performance with ten recently proposed neural networks. The twelve models' performances are evaluated under the same OhioT1DM Dataset, preprocessing workflow, and tools at the three prediction horizons using the most common metrics in blood glucose prediction, and we rank the best-performing ones using three methods devised for the statistical comparison of the performance of multiple algorithms: scmamp, model confidence set, and superior predictive ability. Our analysis provides a comparison of the state-of-the-art neural networks for blood glucose prediction, estimating the model's error, highlighting those with the highest probability of being the best predictors, and providing a guide for their use in clinical practice.

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Article Synopsis
  • Predicting glucose levels is essential for people with diabetes to prevent complications, and machine learning techniques show promise for improving this task.
  • Several methods, including genetic programming and random forests, are employed to model glucose concentration based on continuous monitoring data, carbohydrate intakes, and insulin injections.
  • The study indicates that while 90% of predictions are accurate, there's still a margin for error, with some serious inaccuracies remaining in the best methods used.
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Objectives: To assess the results of sentinel lymph node (SLN) detection in the initial stages of vulvar cancer and the recurrences that may appear.

Study Design: 76 patients with vulvar carcinoma, Stage I and II. Between 2000 and 2010, identification of the SLN was performed with a perilesional injection of Tc99m and vital dye.

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The age at which menopause occurs is a critical factor in the magnitude of its consequences. Most of the medium-to-long-term effects of oestrogen deprivation depend on their duration. The timing of the last menstruation is therefore important, but hypoestrogenic amenorrhoea during the reproductive age is also a relevant factor in the evaluation of individual risks.

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A multicentric, open, prospective, observational and no-randomized clinical trial was carried out in Spain with 190 postmenopausal women receiving a soy preparation rich in isoflavones (PHYTO SOYA, capsules containing 17.5 mg isoflavones). The main object of the present study was to investigate its efficacy in alleviating the symptomatology derived from the lack of estrogen, mainly hot flushes, but also other symptoms such as sleep disorder, anxiety, depression, vaginal dryness, loss of libido and bone pain.

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