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Machine Learning Algorithms To Improve Risk Prediction Models In Healthcare
(2019)
A large number of risk models are currently used in different health institutions. Machine Learning tools can be used to automate these processes and improve the results of these models. These models can be incorporated ...
Violence risk assessment: what behavioral healthcare professionals should know
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Medicina, 2015-07-01)
Violence risk assessment refers to the attempt to predict the likelihood of future violent behavior so that behavioral healthcare professionals may put into place preventative, risk management measures. Mental health and ...
A Technological Solution to Identify the Level of Risk to Be Diagnosed with Type 2 Diabetes Mellitus Using Wearables
(2021-01-01)
This paper proposes a technological solution using a predictive analysis model to identify and reduce the level of risk for type 2 diabetes mellitus (T2DM) through a wearable device. Our proposal is based on previous models ...
A Cohort Study of Caries Incidence and Baseline Socioeconomic, Clinical and Demographic Variables: A Kaplan-Meier Survival Analysis
(Quintessence Publishing Co IncHanover ParkEUA, 2013)
Prediction of voluntary dry matter intake in stall fed growing goats
(2019-01-01)
A Monte Carlo Risk Assessment (MCRA) was used to investigate the variability of existing empirical equations to predict dry matter intake (DMI) for weaned Saanen goats. Probability distribution functions were generated for ...
Quantifying Wet Muck Entry Risk for Long-term Planning in Block Caving
(Springer-Verlag Wien, 2018)
Wet muck entry is one of the major geotechnical risks associated with long-term production goals in cave mining. The objective of this research is to quantify the effect of the main risk variables related to wet muck entry ...
Efficacy of dip slide test for mutans streptococci in caries risk assessment
(Munksgaard Int Publ LtdCopenhagenDinamarca, 2001)
Utility of center of pressure measures during obstacle crossing in prediction of fall risk in people with Parkinson's disease
(2019-08-01)
Introduction: Postural instability during walking and tripping over obstacles are the main causes of falls in people with Parkinson's disease (PD). Preliminary limited evidence suggests that the length of the prospective ...