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| 38059732 | The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research. | Pediatr Crit Care Med | 2024 |
| 37962125 | Development and Validation of a Model for Endotracheal Intubation and Mechanical Ventilation Prediction in PICU Patients. | Pediatr Crit Care Med | 2024 |
| 38011778 | Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit. | Comput Biol Med | 2024 |
| 36096204 | Exacerbation-prone pediatric asthma is associated with arginine, lysine, and methionine pathway alterations. | J Allergy Clin Immunol | 2023 |
| 37627831 | Uncertainty-Aware Convolutional Neural Network for Identifying Bilateral Opacities on Chest X-rays: A Tool to Aid Diagnosis of Acute Respiratory Distress Syndrome. | Bioengineering (Basel) | 2023 |
| 37752077 | A MACHINE LEARNING MODEL DERIVED FROM ANALYSIS OF TIME-COURSE GENE-EXPRESSION DATASETS REVEALS TEMPORALLY STABLE GENE MARKERS PREDICTIVE OF SEPSIS MORTALITY. | Shock | 2023 |
| 37751335 | Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study. | IEEE J Biomed Health Inform | 2023 |
| 37704342 | Facilitating the Next Paradigm Shift in Critical Care Through Artificial Intelligence. | Crit Care Clin | 2023 |
| 37516770 | Externally validated deep learning model to identify prodromal Parkinson's disease from electrocardiogram. | Sci Rep | 2023 |
| 37949982 | Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. | Sci Rep | 2023 |
| 37609569 | Metabolomics identifies disturbances in arginine, phenylalanine, and glycine metabolism as differentiating features of exacerbating atopic asthma in children. | J Allergy Clin Immunol Glob | 2023 |
| 37730817 | Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. | Sci Rep | 2023 |
| 37681293 | A machine learning model for predicting congenital heart defects from administrative data. | Birth Defects Res | 2023 |
| 37604313 | Functional immunophenotyping of blood neutrophils identifies novel endotypes of viral response in preschool children with recurrent wheezing. | J Allergy Clin Immunol | 2023 |
| 37974186 | ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports. | BMC Med Inform Decis Mak | 2023 |
| 37971334 | POSTCARDS from a SIESTA: Crossing the Translational and Generalizability Gap for Predictive Models of Acute Respiratory Distress Syndrome-Related Mortality. | Crit Care Med | 2023 |
| 35854085 | Integrating structured and unstructured data for timely prediction of bloodstream infection among children. | Pediatr Res | 2023 |
| 37425768 | Improving irregular temporal modeling by integrating synthetic data to the electronic medical record using conditional GANs: a case study of fluid overload prediction in the intensive care unit. | medRxiv | 2023 |
| 37053380 | Synthetic seismocardiogram generation using a transformer-based neural network. | J Am Med Inform Assoc | 2023 |
| 37378084 | RNA Sequencing Analysis of CD4<sup>+</sup> T Cells Exposed to Airway Fluid From Children With Pediatric Acute Respiratory Distress Syndrome. | Crit Care Explor | 2023 |
| 37009294 | Identification of a pediatric acute hypoxemic respiratory failure signature in peripheral blood leukocytes at 24 hours post-ICU admission with machine learning. | Front Pediatr | 2023 |
| 37131200 | Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model. | Crit Care | 2023 |
| 37128380 | Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence. | AMIA Annu Symp Proc | 2023 |
| 36864187 | Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit. | Sci Rep | 2023 |
| 36728821 | Untargeted, High-Resolution Metabolomics in Pediatric Eosinophilic Esophagitis. | J Pediatr Gastroenterol Nutr | 2023 |
| 34602502 | Predicting Parkinson's Disease and Its Pathology via Simple Clinical Variables. | J Parkinsons Dis | 2022 |
| 35381616 | Automated Identification of Immunocompromised Status in Critically Ill Children. | Methods Inf Med | 2022 |
| 35422131 | Intimate Partner Violence at a Level-1 Trauma Center During the COVID-19 Pandemic: An Interrupted Time Series Analysis. | Am Surg | 2022 |
| 35689135 | Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project. | Neurocrit Care | 2022 |
| 36517867 | Commentary: 'Critical illness subclasses: all roads lead to Rome'. | Crit Care | 2022 |
| 36509794 | Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children. | Sci Rep | 2022 |
| 36567787 | Bioenergetic Crisis in ICU-Acquired Weakness Gene Signatures Was Associated With Sepsis-Related Mortality: A Brief Report. | Crit Care Explor | 2022 |
| 36532301 | Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible. | PLOS Digit Health | 2022 |
| 36205673 | A Novel Technique to Identify Intimate Partner Violence in a Hospital Setting. | West J Emerg Med | 2022 |
| 36266181 | Pivotal challenges in artificial intelligence and machine learning applications for neonatal care. | Semin Fetal Neonatal Med | 2022 |
| 36385161 | Functional immunophenotyping of children with critical status asthmaticus identifies differential gene expression responses in neutrophils exposed to a poly(I:C) stimulus. | Sci Rep | 2022 |
| 35161876 | A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers. | Sensors (Basel) | 2022 |
| 35323675 | Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS. | Metabolites | 2022 |
| 34699366 | OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection. | IEEE/ACM Trans Comput Biol Bioinform | 2022 |
| 32991797 | Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults. | Shock | 2021 |
| 33667812 | Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. | Comput Biol Med | 2021 |
| 33639353 | HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. | Comput Biol Med | 2021 |
| 33692779 | Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission. | Front Immunol | 2021 |
| 34984336 | Altered Heart Rate Variability Early in ICU Admission Differentiates Critically Ill Coronavirus Disease 2019 and All-Cause Sepsis Patients. | Crit Care Explor | 2021 |
| 34870131 | A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers. | iScience | 2021 |
| 34552499 | Artificial Intelligence May Predict Early Sepsis After Liver Transplantation. | Front Physiol | 2021 |
| 34730820 | Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality. | JAMA Netw Open | 2021 |
| 34604142 | Deep Learning Model to Predict Serious Infection Among Children With Central Venous Lines. | Front Pediatr | 2021 |
| 34836982 | Cluster analysis and profiling of airway fluid metabolites in pediatric acute hypoxemic respiratory failure. | Sci Rep | 2021 |
| 34559819 | eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19. | PLoS One | 2021 |