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Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Publications associées (54)

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A decision model to predict the risk of the first fall onset

Jean-Baptiste Mignardot

Background: Miscellaneous features from various domains are accepted to be associated with the risk of falling in the elderly. However, only few studies have focused on establishing clinical tools to predict the risk of the first fall onset. A model that w ...

Elsevier2016

Impact of HSD11B1 polymorphisms on BMI and components of the metabolic syndrome in patients receiving psychotropic treatments

Pierre Magistretti, Murielle Bochud, Aurélie Delacrétaz

Background Metabolic syndrome (MetS) associated with psychiatric disorders and psychotropic treatments represents a major health issue. 11 beta-Hydroxysteroid dehydrogenase type 1 (11 beta-HSD1) is an enzyme that catalyzes tissue regeneration of active cor ...

Lippincott Williams & Wilkins2015

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East Coast Fever (ECF) is a major livestock disease caused by Theileria parva Theiler, 1904, an emo-parasite protozoan transmitted by the tick Rhipicephalus appendiculatus Neumann, 1901. This disease provokes high mortality in cattle populations of East an ...

2015

Weight gain is a major health problem among psychiatric populations. It implicates several receptors and hormones involved in energy balance and metabolism. Phosphoenolpyruvate carboxykinase 1 is a rate-controlling enzyme involved in gluconeogenesis, glyce ...

Lippincott, Williams & Wilkins2015

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Goal: Difficult tracheal intubation is a major cause of anesthesia related injuries with potential life threatening complications. Detection and anticipation of difficult airway in the preoperative period is thus crucial for the patients’ safety. We propos ...

Institute of Electrical and Electronics Engineers2015

Pattern-wise trust assessment of sensor data

Karl Aberer, Mehdi Riahi, Robert Gwadera

One of the most important tasks of a sensor network (SN) is to detect occurrences of interesting events in the monitored environment. However, data measured by SN is often affected by errors. We investigate the problem of assessing trustworthiness (trust) ...

2014

Specification of the cross nested logit model with sampling of alternatives for route choice models

Michel Bierlaire, Xinjun Lai

A novel approach is proposed to use the Cross Nested Logit (CNL) model in route choice when sampling of paths is considered. It adopts the Metropolis-Hasting algorithm to sample the choice sets for the model. A new expansion factor and an approximation met ...

2014

Method and apparatus for multiple object tracking with k-shortest paths

Pascal Fua, François Fleuret, Jérôme Berclaz

Trajectories of objects are estimated by determining the optimal solution(s) of a tracking model on the basis of an occupancy probability distribution. The occupancy probability distribution is the probability of presence of objects over a set of discrete ...

2013

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This paper presents a method to teach a robot to play Ping Pong from failed demonstrations in a highly noisy and uncertain setting. To infer useful information from failed demonstrations, we use a MultiDonut Algorithm [7] that minimises the probability of ...

2013

A bottom-up stochastic model to predict building occupants' time-dependent activities

Jean-Louis Scartezzini, Darren Robinson, Frédéric Haldi, Urs Wilke

A bottom-up modelling approach together with a set of calibration methodologies is presented to predict residential building occupants' time-dependent activities, for use in dynamic building simulations. The stochastic model to predict activity chains is c ...

Elsevier2013