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Calibration (and inclusion of additional predictors) of the Stroke-Thrombolytic Predictive Instrument (S-TPI) addressed issues of under and over prediction.
The acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI) was developed as a means to risk-stratify patients in real time [22, 23].
We sought to evaluate the test characteristics of the acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI) in relation to 30-day major adverse cardiac events (MACE) among patients who presented to the Emergency Department with symptoms suggestive of an acute coronary syndrome.
Study objectives: This study is designed to determine if the Acute Coronary Ischemia Time Insensitive Predictive Instrument (ACI-TIPI) score can identify chest pain protocol patients for whom stress testing can be avoided without increasing the number of adverse cardiac events occurring within 30 days after chest pain center evaluation.
A predictive instrument classifies individuals into a set of predefined measurement categories, e.g., alive or dead.
In the Stroke-Thrombolytic Predictive Instrument, diabetes is listed among the variables affecting good outcome.
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They further claimed that the theoretical (as opposed to the observational) claims of science are also unverifiable and in fact function as predictive instruments (predictors of observations) rather than as descriptions of an independently existing reality.
Further investigations of antidepressant and antipsychotic related weight gain likely will result in screening tools becoming risk assessment or predictive instruments, which we would recommend corrections adopt.
Predictive instruments are used classify individuals against an external criterion and are intended for diagnostic, prognostic or screening purposes.
Among the best-known predictive instruments are Adjusted Clinical Groups (ACG-PM) [ 8], Diagnostic Cost Groups/Hierarchical Condition Categories (DCG-HCC) [ 9] and Clinical Risk Groups (CRG) [ 10].
Predictive instruments (nomograms) have occasionally been developed which include novel biochemical markers, but these have generally offered only modest improvements in predictive accuracies over previous nomograms and have had limited generalizability.
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