A Novel Nomogram and Online Calculator for Predicting the Risk of Obesity Hypoventilation Syndrome in Bariatric Surgery Candidates | SpringerLink
Nomogram for Predicting Time to Death After Withdrawal of Life-Sustaining Treatment in Patients With Devastating Neurological Injury - American Journal of Transplantation
A simple-to-use nomogram for predicting prolonged mechanical ventilation for children after Ebstein anomaly corrective surgery: a retrospective cohort study | BMC Anesthesiology | Full Text
Derivation and validation of a nomogram for predicting nonventilator hospital-acquired pneumonia among older hospitalized patients | BMC Pulmonary Medicine | Full Text
Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention
A prediction nomogram for neonatal acute respiratory distress syndrome in late-preterm infants and full-term infants: A retrospective study - eClinicalMedicine
Development of a prognostic nomogram for sepsis associated-acute respiratory failure patients on 30-day mortality in intensive care units: a retrospective cohort study | BMC Pulmonary Medicine | Full Text
A prediction nomogram for neonatal acute respiratory distress syndrome in late-preterm infants and full-term infants: A retrospective study - eClinicalMedicine
Derivation and validation of a nomogram for predicting nonventilator hospital-acquired pneumonia among older hospitalized patients | BMC Pulmonary Medicine | Full Text
An mNUTRIC-based nomogram for predicting the in-hospital death risk in patients with acute stroke | European Journal of Clinical Nutrition
Frontiers | Development of a Nomogram for Moderate-to-Severe Bronchopulmonary Dysplasia or Death: Role of N-Terminal Pro-brain Natriuretic Peptide as a Biomarker
Development of a nomogram for the prediction of in-hospital mortality in patients with acute ST-elevation myocardial infarction after primary percutaneous coronary intervention: a multicentre, retrospective, observational study in Hebei province, China
Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention
Frontiers | An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study
Nomogram for predicting 90-day mortality in patients with Acinetobacter baumannii-caused hospital-acquired and ventilator-associated pneumonia in the respiratory intensive care unit - Yongjian Pei, Yongkang Huang, Xue Pan, Zhen Yao, Chen Chen, Anyuan
Clinical Use of a Nomogram to Estimate Proper Ventilation during Artificial Respiration | NEJM
Derivation and validation of a nomogram for predicting nonventilator hospital-acquired pneumonia among older hospitalized patients | BMC Pulmonary Medicine | Full Text
Clinical Use of a Nomogram to Estimate Proper Ventilation during Artificial Respiration | NEJM
Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure | Scientific Reports
Pharmaceutics | Free Full-Text | Evaluation of Current Amikacin Dosing Recommendations and Development of an Interactive Nomogram: The Role of Albumin
Nomogram for Predicting Time to Death After Withdrawal of Life-Sustaining Treatment in Patients With Devastating Neurological Injury - American Journal of Transplantation
Development of a nomogram for predicting nasogastric tube-associated pressure injuries in intensive care unit patients - ScienceDirect
Nomogram for predicting 90-day mortality in patients with Acinetobacter baumannii-caused hospital-acquired and ventilator-associated pneumonia in the respiratory intensive care unit - Yongjian Pei, Yongkang Huang, Xue Pan, Zhen Yao, Chen Chen, Anyuan
A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study - The Lancet Digital Health
