Personalized Prediction of Vehicle Energy Consumption Based on Participatory Sensing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2672880
Abstract: The advent of abundant on-board sensors and electronic devices in vehicles populates the paradigm of participatory sensing to harness crowd-sourced data gathering for intelligent transportation applications, such as distance-to-empty prediction and eco-routing. While participatory sensing… read more here.
Keywords: vehicle energy; energy consumption; personalized prediction; prediction ... See more keywords
Personalized prediction model for seizure‐free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine
Sign Up to like & getrecommendations! Published in 2018 at "British Journal of Clinical Pharmacology"
DOI: 10.1111/bcp.13720
Abstract: To predict the probability of a seizure‐free (SF) state in patients with epilepsy (PWEs) after treatment with levetiracetam and to identify the clinical and electroencephalographic (EEG) factors that affect outcomes. read more here.
Keywords: model seizure; levetiracetam; seizure free; prediction model ... See more keywords
Personalized Prediction Model for Hepatocellular Carcinoma With a Bayesian Clinical Reasoning Approach
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Global Oncology"
DOI: 10.1200/jgo.18.84600
Abstract: Background: Predictive models for the risk of hepatocellular carcinoma (HCC) are often appropriate for average-risk population but not tailored for a personalized prediction model for individual ri... read more here.
Keywords: hepatocellular carcinoma; prediction model; personalized prediction; model hepatocellular ... See more keywords