prediction rules

prediction rules

Any of the rules for identifying and estimating the factors in formulating a diagnosis in order to establish the probability that a disease is present.
Medical Dictionary, © 2009 Farlex and Partners
References in periodicals archive ?
* Clinical prediction rules: for patients with or without risk factors for PE and for patients with highsuspicion of PE, use clinical assessment of likelihood of pulmonary embolism using validated prediction rules and clinical judgement to distinguish between low-, intermediate-, and high-risk PE
For this purpose, several published clinical prediction rules (CPRs) are available, such as Wells score, Geneva score, and revised Geneva score.
Via statistical learning approaches, interpretable prediction rules leading to accurate forecasts for future or unseen observations can be deduced from potentially high-dimensional data.
Deriving clinical prediction rules from stroke outcome research.
Future work should evaluate whether prediction rules based on observed filling patterns can be extended to other drug classes and to more refined classifications of adherence behaviors, such as adherence trajectories (Franklin et al.
These findings are the basis for most clinical prediction rules used today.
Recently, several prediction rules make it possible to discriminate suspected PE patients in categories of clinical or pretest probability.
However, before adequately validated clinical prediction rules become available, this approach may expose a substantial proportion of patients, in particular those with VTE secondary to transient risk factors, to a possibly unnecessary risk of bleeding."
“Whether you use Tableau or Talend, clinical decision support or clinical prediction rules, Hadoop or Hive, this book brings the key concepts in big data to healthcare analytics," said the author, Peter Ghavami.
Clinical prediction rules to indicate back pain patients who are more or less likely to respond to spinal manipulation have been proposed.
Prediction rules generated from training samples commonly show a reduced accuracy when validated in new cohorts [36, 37].
Clinical prediction rules, through which clinical findings were systematically applied to predict difficult clinical conditions [10], may be another approach for the diagnosis of acute lower abdominal pain in females of reproductive age.

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