Objective To provide an overview and critical appraisal of early warning scores for adult
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …

Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …

Goal: Current methods for estimating respiratory rate (RR) from the photoplethysmogram
(PPG) typically fail to distinguish between periods of high-and low-quality input data, and fail …

A holistic hospital patient care and management system comprises a data store to receive
and store patient data including clinical and non-clinical data; a plurality of RFID sensors to …

Monitoring and modeling biomedical, health care and wellness data from individuals and
converging data on a population scale have tremendous potential to improve understanding …

Breathing rate monitoring is a must for hospitalized patients with the current coronavirus
disease 2019 (COVID-19). We review in this paper recent implementations of breathing …

Objectives This review aims to: 1) evaluate the quality of model reporting, 2) provide an
overview of methodology for developing and validating Early Warning Score Systems …

A clinical predictive and monitoring system comprising a data store operable to receive and
store data associated with a plurality of patients selected from medical and health data; and …

Early detection of an impending cardiac or pulmonary arrest is an important focus for
hospitals trying to improve quality of care. Unfortunately, all current early warning systems …

The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …