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 …
[HTML][HTML] Limestone: High-throughput candidate phenotype generation via tensor factorization
The rapidly increasing availability of electronic health records (EHRs) from multiple
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
heterogeneous sources has spearheaded the adoption of data-driven approaches for …
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis
Hepatitis C is an infectious disease that affects more than 70 million people worldwide, even
killing 400 thousand of them annually. To better understand this disease and its prognosis …
killing 400 thousand of them annually. To better understand this disease and its prognosis …
Data mining nursing care plans of end‐of‐life patients: a study to improve healthcare decision making
PURPOSE: To reveal hidden patterns and knowledge present in nursing care information
documented with standardized nursing terminologies on end‐of‐life (EOL) hospitalized …
documented with standardized nursing terminologies on end‐of‐life (EOL) hospitalized …
A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations
Activity recognition modelling using smartphone Inertial Measurement Units (IMUs) is an
underutilized resource defining and assessing work efficiency for a wide range of natural …
underutilized resource defining and assessing work efficiency for a wide range of natural …
Maintaining a consistent big picture: Meaningful use of a web‐based POC EHR system
OBJECTIVE: To test the hypothesis that Hands‐on Automated Nursing Data System
(HANDS)“big picture summary” can be implemented uniformly across diverse settings, and …
(HANDS)“big picture summary” can be implemented uniformly across diverse settings, and …
[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 …
[BOOK][B] Big data analytics in healthcare
The term big data can be described as the structured and unstructured data being generated
from a variety of sources in huge volume and in unprecedented real-time speed. Such data …
from a variety of sources in huge volume and in unprecedented real-time speed. Such data …
A novel method for dipper/non-dipper pattern classification in hypertensive and non-diabetic patients
BACKGROUND: In the classical process, it was proven that ABPM data were the most
significant attributes both by physician and ranking algorithms for dipper/non-dipper pattern …
significant attributes both by physician and ranking algorithms for dipper/non-dipper pattern …
Mortality risk in homebound older adults predicted from routinely collected nursing data
Background Newer analytic approaches for develo** predictive models provide a method
of creating decision support to translate findings into practice. Objectives The aim of this …
of creating decision support to translate findings into practice. Objectives The aim of this …