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Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)
Background: Hyperkalemia can lead to fatal cardiac arrhythmias. Ten units of intravenous (IV) regular insulin
with 25 g of glucose is the mainstay for treating hyperkalemia. However, the most important complication of this
treatment is…
with 25 g of glucose is the mainstay for treating hyperkalemia. However, the most important complication of this
treatment is…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
New prediction method for data spreading in social networks based on machine learning algorithm
Information diffusion prediction is the study of the path of dissemination of news, information, or topics in a structured data such as a graph. Research in this area is focused on two goals, tracing the information diffusion path and finding the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Predictions on wheat crop yielding through fuzzy set theory and optimization techniques
Agricultural field’s production is commonly measured through the
performance of the crops in terms of sow amount, climatology, and the type of crop, among other. Therefore, prediction on the performance of the crops can aid cultivators to make…
performance of the crops in terms of sow amount, climatology, and the type of crop, among other. Therefore, prediction on the performance of the crops can aid cultivators to make…
Efect of annual hospital admissions of out-of-hospital cardiac arrest patients on prognosis following cardiac arrest
Background: Although the prognosis of patients treated at specialized facilities has improved, the relationship
between the number of patients treated at hospitals and prognosis is controversial and lacks constancy in those with
out-of-hospital…
between the number of patients treated at hospitals and prognosis is controversial and lacks constancy in those with
out-of-hospital…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Enhancement of student performance prediction using modified K-nearest neighbor
The traditional K-nearest neighbor (KNN) algorithm uses an exhaustive search for a complete training set to predict a single test sample. This procedure can slow down the system to consume more time for huge datasets. The selection of classes for a…
Validity and risk factor analysis for helicopter emergency medical services in Japan: a pilot study
Background: Some emergency departments use triage scales, such as the Canadian Triage and Acuity Scale and
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
Japan Urgent Stroke Triage Score, to detect life-threatening situations. However, these protocols have not been
used for aeromedical…
Ultrasonography indicators for predicting difficult intubation: a systematic review and meta-analysis
Background: Ultrasonography (US) is recently used frequently as a tool for airway assessment prior to intubation
(endotracheal tube (ETT) placement), and several indicators have been proposed in studies with different reported
performances in this…
(endotracheal tube (ETT) placement), and several indicators have been proposed in studies with different reported
performances in this…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Predicting student performance in higher education using multi-regression models
Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data
Indonesia resides on most earthquake region with more than 100 active volcanoes, and high number of seismic activities per year. In order to reduce the casualty, some method to predict earthquake have been developed to estimate the seismic movement.…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Feature engineering and long short-term memory for energy use of appliances prediction
Electric energy consumption in a residential household is one of the key factors
that affect the overall national electricity demand. Household appliances are
one of the most electricity consumers in a residential household. Therefore, it
is…
that affect the overall national electricity demand. Household appliances are
one of the most electricity consumers in a residential household. Therefore, it
is…