A simplified acute physiology score for ICU patients

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The American-European Consensus Conference On Ards. Definitions, Mechanisms, Relevant Outcomes, And Clinical Trial Coordination

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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

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Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

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A Comparison of Noninvasive Positive-Pressure Ventilation and Conventional Mechanical Ventilation in Patients with Acute Respiratory Failure

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Multitask learning and benchmarking with clinical time series data

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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD statement

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Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

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A bedside scoring system (“Candida score”) for early antifungal treatment in nonneutropenic critically ill patients with Candida colonization*

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Clinical review: Scoring systems in the critically ill

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Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · European Urology · doi:10.1016/j.eururo.2014.11.025 · Cited by 439

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

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Predictors of Adverse Outcome in Cancer Patients with Candidemia

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Prevention of colonization and respiratory infections in long-term ventilated patients by local antimicrobial prophylaxis

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Prediction of outcome in intensive care patients using endocrine parameters

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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach

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Influence of Overweight on ICU Mortality

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Risk Factors and Predictors of Outcome in Patients with Cancer and Breakthrough Candidemia

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A comparison of intensive care unit mortality prediction models through the use of data mining techniques.

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Incidence of anaerobes in ventilator-associated pneumonia with use of a protected specimen brush.

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Patient length of stay and mortality prediction: A survey

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Development and evaluation of an automated machine learning algorithm for in-hospital mortality risk adjustment among critical care patients.

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Mortality in Relation to Frailty in Patients Admitted to a Specialized Geriatric Intensive Care Unit

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Phase Angle as a Prognostic Marker in Patients With Critical Illness

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Modeling asynchronous event sequences with RNNs

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Supersparse Linear Integer Models for Interpretable Classification

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Socioeconomic status and risk of intensive care unit admission with sepsis

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