Video OCR for digital news archive
Video OCR is a technique that can greatly help to locate topics of interest in a large digital
news video archive via the automatic extraction and reading of captions and annotations …
news video archive via the automatic extraction and reading of captions and annotations …
[HTML][HTML] Added value from secondary use of person generated health data in consumer health informatics
Introduction: Various health-related data, subsequently called Person Generated Health
Data (PGHD), is being collected by patients or presumably healthy individuals as well as …
Data (PGHD), is being collected by patients or presumably healthy individuals as well as …
Uncertainty propagation in long-term structured regression on evolving networks
In long-term forecasting it is important to estimate the confidence of predictions, as they are
often affected by errors that are accumulated over the prediction horizon. To address this …
often affected by errors that are accumulated over the prediction horizon. To address this …
Analyzing dynamical activities of Co-occurrence patterns for cooking ingredients
Y Kikuchi, M Kumano, M Kimura - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Due to the increasing popularity of cooking-recipe sharing sites and the success of complex
network science, attention has recently been devoted to develo** an effective network …
network science, attention has recently been devoted to develo** an effective network …
Improving confidence while predicting trends in temporal disease networks
For highly sensitive real-world predictive analytic applications such as healthcare and
medicine, having good prediction accuracy alone is often not enough. These kinds of …
medicine, having good prediction accuracy alone is often not enough. These kinds of …
Making sense of patient-generated health data for interpretable patient-centered care: the transition from “more” to “better”
The rise of health consumers and the accumulation of patient-generated health data (PGHD)
have brought the patient to the centerstage of precision health and behavioral science. In …
have brought the patient to the centerstage of precision health and behavioral science. In …
[HTML][HTML] An exploration of ontology-based EMR data abstraction for diabetic kidney disease prediction
Abstract Diabetic Kidney Disease (DKD) is a critical and morbid complication of diabetes
and the leading cause of chronic kidney disease in the developed world. Electronic medical …
and the leading cause of chronic kidney disease in the developed world. Electronic medical …
PerDREP: Personalized drug effectiveness prediction from longitudinal observational data
In contrast to the one-size-fits-all approach to medicine, precision medicine will allow
targeted prescriptions based on the specific profile of the patient thereby avoiding adverse …
targeted prescriptions based on the specific profile of the patient thereby avoiding adverse …
Comorbidity patterns and its impact on health outcomes: two-way clustering analysis
Comorbidity greatly increases the complexity of managing disease in patients.
Approximately 27 percent of the US population have two or more concurrent comorbid …
Approximately 27 percent of the US population have two or more concurrent comorbid …
[BOOK][B] Predictive Uncertainty Quantification and Explainable Machine Learning in Healthcare
D Gligorijevic - 2018 - search.proquest.com
Predictive modeling is an ever-increasingly important part of decision making. The advances
in Machine Learning predictive modeling have spread across many domains bringing …
in Machine Learning predictive modeling have spread across many domains bringing …