Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
Voice of charity: Prospecting the donation recurrence & donor retention in crowdfunding
Online donation-based crowdfunding has brought new life to charity by soliciting small
monetary contributions from crowd donors to help others in trouble or with dreams. However …
monetary contributions from crowd donors to help others in trouble or with dreams. However …
A survey of data mining technology on electronic medical records
Medical institutes use Electronic Medical Record (EMR) to record a series of medical events,
including diagnostic information (diagnosis codes), procedures performed (procedure …
including diagnostic information (diagnosis codes), procedures performed (procedure …
Feature-weighted survival learning machine for COPD failure prediction
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as
hospital readmission and death in the United States, Canada and worldwide. COPD failure …
hospital readmission and death in the United States, Canada and worldwide. COPD failure …
Frequent causal pattern mining: a computationally efficient framework for estimating bias-corrected effects
Our aging population increasingly suffers from multiple chronic diseases simultaneously,
necessitating the comprehensive treatment of these conditions. Finding the optimal set of …
necessitating the comprehensive treatment of these conditions. Finding the optimal set of …
Predicting COPD failure by modeling hazard in longitudinal clinical data
Chronic obstructive pulmonary disease (COPD) accounts for the highest rate of hospital
readmissions and is the third leading cause of death in Canada, the United States and …
readmissions and is the third leading cause of death in Canada, the United States and …
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks
The true onset time of a disease, particularly slow-onset diseases like Type 2 diabetes
mellitus (T2DM), is rarely observable in electronic health records (EHRs). However, it is …
mellitus (T2DM), is rarely observable in electronic health records (EHRs). However, it is …
Causal pattern mining in highly heterogeneous and temporal ehrs data
P Yadav - 2017 - search.proquest.com
Abstract The World Health Organization (WHO) estimates that the total healthcare spending
in the US is around 18\% of its GDP for the year 2011. Even with such a high per-capita …
in the US is around 18\% of its GDP for the year 2011. Even with such a high per-capita …