about
Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?Validation of the Rockall risk scoring system in upper gastrointestinal bleedingSubjective assessments of comorbidity correlate with quality of life health outcomes: initial validation of a comorbidity assessment instrument.Prognostic indices for older adults: a systematic reviewOutcome of nursing home-acquired pneumonia: derivation and application of a practical model to predict 30 day mortalityUsing data mining techniques in monitoring diabetes care. The simpler the better?Predicting the Long-Term Outcome after Subacute Stroke within the Middle Cerebral Artery Territory.What do we mean by validating a prognostic model?Risk factors predicting complications in blood culture-proven typhoid fever in adults.Recommendations for the assessment and reporting of multivariable logistic regression in transplantation literature.Search filters for finding prognostic and diagnostic prediction studies in Medline to enhance systematic reviews.Survival estimates for patients with abnormal swallowing studies.Predicting survival using simple clinical variables: a case study in traumatic brain injury.Integrated neuroendocrine immune risk factors in relation to rheumatoid arthritis: should rheumatologists now adopt a model of a multiyear, presymptomatic phase?Meningitis with a negative cerebrospinal fluid Gram stain in adults: risk classification for an adverse clinical outcome.A new simplified immediate prognostic risk score for patients with acute myocardial infarction.Risk score for identifying adults with CSF pleocytosis and negative CSF Gram stain at low risk for an urgent treatable cause.Accuracy assessment of prediction in patient outcomes.Laypersons' responses to the communication of uncertainty regarding cancer risk estimates.Factors that predict short-term intensive care unit mortality in patients with cirrhosis.Predicting AKI in emergency admissions: an external validation study of the acute kidney injury prediction score (APS).Individual Prognosis of Symptom Burden and Functioning in Chronic Diseases: A Generic Method Based on Patient-Reported Outcome (PRO) Measures.Performance, revision, and extension of the National Nosocomial Infections Surveillance system's risk index in Brazilian hospitals.Violence risk assessment in clinical settings: being sure about being sure.Non-invasive risk stratification of coronary artery disease: an evaluation of some commonly used statistical classifiers in terms of predictive accuracy and clinical usefulness.Development and validation of two models for early prediction of response to therapy in genotype 1 chronic hepatitis C.Apoptosis of neuronal cells induced by serum of patients with acute brain injury: a new in vitro prognostic model.The accuracy of venous leg ulcer prognostic models in a wound care system.
P2860
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P2860
description
1996 nî lūn-bûn
@nan
1996年の論文
@ja
1996年論文
@yue
1996年論文
@zh-hant
1996年論文
@zh-hk
1996年論文
@zh-mo
1996年論文
@zh-tw
1996年论文
@wuu
1996年论文
@zh
1996年论文
@zh-cn
name
Predicting clinical states in individual patients.
@en
type
label
Predicting clinical states in individual patients.
@en
prefLabel
Predicting clinical states in individual patients.
@en
P1476
Predicting clinical states in individual patients.
@en
P2093
Braitman LE
Davidoff F
P304
P356
10.7326/0003-4819-125-5-199609010-00008
P407
P577
1996-09-01T00:00:00Z