Search Results

Development of prognostic models for predicting 90-day neurological function and mortality after cardiac arrest.

• Authors : Ding, Guangqian; Kuang, Ailing; Zhou, Zhongbo

• Source: American Journal of Emergency Medicine; May2024, Vol. 79, p172-182, 11p

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Prognostic models for older adults.

• Authors : Gabbay E; Kent DM

Subjects: Decision Making* ; Life Expectancy* ; Mortality*

• Source: JAMA [JAMA] 2012 May 09; Vol. 307 (18), pp. 1911-2; author reply 1912.Publisher: American Medical Association Country of Publication: United States NLM ID: 7501160 Publication Model: Print Cited Medium: Internet ISSN:

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Prognostic models for older adults.

• Authors : Stern R

Subjects: Decision Making* ; Life Expectancy* ; Mortality*

• Source: JAMA [JAMA] 2012 May 09; Vol. 307 (18), pp. 1911; author reply 1912.Publisher: American Medical Association Country of Publication: United States NLM ID: 7501160 Publication Model: Print Cited Medium: Internet ISSN:

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Prognostic models for estimating severity of disease and predicting 30-day mortality of Hypervirulent Klebsiella pneumoniae infections: a bicentric retrospective study.

• Authors : Huang, Jieen; Chen, Yanzhu; Li, Ming

Subjects: PROGNOSTIC models; KLEBSIELLA pneumoniae; KLEBSIELLA infections

• Source: BMC Infectious Diseases; 8/25/2023, Vol. 23 Issue 1, p1-20, 20p

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Evaluation of 6 prognostic models used to calculate mortality rates in elderly heart failure patients with a fatal heart failure admission.

• Authors : Nutter AL; College of Engineering, University of Iowa, Iowa City, IA, USA.; Tanawuttiwat T

Subjects: Life Tables*; Heart Failure/Heart Failure/Heart Failure/*epidemiology ; Hospital Mortality/Hospital Mortality/Hospital Mortality/*trends

• Source: Congestive heart failure (Greenwich, Conn.) [Congest Heart Fail] 2010 Sep-Oct; Vol. 16 (5), pp. 196-201.Publisher: Wiley Country of Publication: United States NLM ID: 9714174 Publication Model: Print Cited Medium: Internet ISSN: 1751-7133

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Prognostic models in COVID-19 infection that predict severity: a systematic review.

• Authors : Buttia, Chepkoech; Llanaj, Erand; Raeisi-Dehkordi, Hamidreza

Subjects: PROGNOSTIC models; BIBLIOGRAPHIC databases; COVID-19

• Source: European Journal of Epidemiology; Apr2023, Vol. 38 Issue 4, p355-372, 18p

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Derivation and validation of prognostic models for predicting survival outcomes in Acute‐on‐chronic liver failure patients.

• Authors : Rui, Fajuan (AUTHOR); Yang, Hongli (AUTHOR); Guo, Zhaoyang (AUTHOR)

Subjects: SURVIVAL rate; PROGNOSTIC models; LIVER failure

• Source: Journal of Viral Hepatitis. Dec2021, Vol. 28 Issue 12, p1719-1728. 10p.

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External validation of prognostic models predicting outcome after chronic subdural hematoma.

• Authors : Holl, Dana C.; Mikolic, Ana; Blaauw, Jurre

Subjects: PROGNOSTIC models; SUBDURAL hematoma; MODEL validation

• Source: Acta Neurochirurgica; Oct2022, Vol. 164 Issue 10, p2719-2730, 12p

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Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results.

• Authors : Shin, Hyun Joo; Lee, Eun Hye; Han, Kyunghwa

Subjects: ARTIFICIAL intelligence; PROGNOSTIC models; CHEST X rays

• Source: Scientific Reports; 6/22/2024, Vol. 14 Issue 1, p1-9, 9p

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Assessment of acute heart failure prognosis: the promising role of prognostic models and biomarkers.

• Authors : Kadoglou, Nikolaos P. E.; Parissis, John; Karavidas, Apostolos

Subjects: PROGNOSTIC models; HEART failure; PROGNOSIS

• Source: Heart Failure Reviews; Mar2022, Vol. 27 Issue 2, p655-663, 9p

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