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A comprehensive survey on imputation of missing data in internet of things
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …
communication technologies, and Internet protocols with broad applications. Collecting data …
Recent development of respiratory rate measurement technologies
Respiratory rate (RR) is an important physiological parameter whose abnormality has been
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
regarded as an important indicator of serious illness. In order to make RR monitoring simple …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
The secondary use of electronic health records for data mining: data characteristics and challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …
management of patients' health-related information. However, these records have also been …
Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review
PH Charlton, DA Birrenkott, T Bonnici… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Breathing rate (BR) is a key physiological parameter used in a range of clinical settings.
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …
Despite its diagnostic and prognostic value, it is still widely measured by counting breaths …
Sharing ICU patient data responsibly under the society of critical care medicine/European society of intensive care medicine joint data science collaboration: the …
PJ Thoral, JM Peppink, RH Driessen… - Critical care …, 2021 - journals.lww.com
OBJECTIVES: Critical care medicine is a natural environment for machine learning
approaches to improve outcomes for critically ill patients as admissions to ICUs generate …
approaches to improve outcomes for critically ill patients as admissions to ICUs generate …
[HTML][HTML] Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F ** from clinical narratives
In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …
identifying the patient cohort under investigation. In many cases, the most valuable and …
[HTML][HTML] Road surface monitoring using smartphone sensors: A review
S Sattar, S Li, M Chapman - Sensors, 2018 - mdpi.com
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to
road users. The key to road surface condition monitoring is to detect road surface anomalies …
road users. The key to road surface condition monitoring is to detect road surface anomalies …
Big data analytics in healthcare
A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
the widespread adoption of Electronic Medical Records (EMRs). These big data in …