Towards an Application Helping to Minimize Medication Error Rate
نویسندگان
چکیده
منابع مشابه
An Adaptive Transmission Rate Control Approach to Minimize Energy Consumption
There is a tradeoff between energy saving and realtime stream deadline meeting in wireless sensor transmission. Existing work has proposed rate control methods to minimize energy consumption based on several ideal assumptions, e.g., a packet arriving earlier has an earlier deadline, packet arrival times are known precisely, and a packet transmission can be preempted. We remove these unrealistic...
متن کاملA new approach to minimize utterance verification error rate for a specific operating point
In many telephony applications that use speech recognition, it is important to identify and reject out-of-vocabulary words or utterances without keywords by means of utterance verification (UV). Typically, UV is performed based on the likelihood ratio of the target model versus an alternative model. The “goodness” of the models and the particular criteria used for estimating these models can ha...
متن کاملStructural Error Correction Models: Instrumental Variables Methods and an Application to an Exchange Rate Model
Error correction models are widely used to estimate dynamic cointegrated systems. In most applications, estimated error correction models are reduced form models. As a result, nonstructural speed of adjustment coefficients are estimated in these applications. A single equation instrumental variable method can be used to estimate a structural speed of adjustment coefficient. This paper develops ...
متن کاملMedication Error, What Is the Reason?
Background: Medication errors due to different reasons may alter the outcome of all patients, especially patients with drug poisoning. We introduce one of the most common type of medication error in the present article. Case: A 48 year old woman with suspected organophosphate poisoning was died due to lethal medication error. Unfortunately these types of errors are not rare and had some preven...
متن کاملAn application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mobile Information Systems
سال: 2021
ISSN: 1875-905X,1574-017X
DOI: 10.1155/2021/9221005