Tezcan Baslanti

Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment

Zheng Feng, R. Bhat, Xiaoyong Yuan, Daniel Freeman +3 more

20172017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)27 citations Open access

Semantic Scholar

Tezcan Baslanti

Most-cited papers

Development of a genomic metric that can be rapidly used to predict clinical outcome in severely injured trauma patients

Regional anesthesia as compared to general anesthesia for surgery in geriatric patients with hip fracture: Does it decrease morbidity, mortality and healthcare costs? Results of a single-centered study

Acute kidney injury is associated with early cytokine changes after trauma

Aged Mice are Unable to Mount an Effective Myeloid Response to Sepsis

A BETTER UNDERSTANDING OF WHY MURINE MODELS OF TRAUMA DO NOT RECAPITULATE THE HUMAN SYNDROME

Leaving More Than Your Fingerprint on the Intravenous Line: A Prospective Study on Propofol Anesthesia and Implications of Stopcock Contamination

Comparison of Four Airway Devices on Cervical Spine Alignment in Cadaver Models of Global Ligamentous Instability at C1-2

Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment

Simulation-based assessment to evaluate cognitive performance in an anesthesiology residency program.

External Validation of the qSOFA Score in Emergency Department Patients With Pneumonia.

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility

Knowledge Extraction and Outcome Prediction using Medical Notes

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status

692: Computer algorithms are superior to physician assessment of the risk for postoperative complications

714: Database Communication Enables Machine Learning Classifiers to Predict Postoperative AKI in ICU

467: MATHEMATICAL MODELING OF THE ASSOCIATION BETWEEN THE PATTERN OF CHANGE IN POSTOPERATIVE SERUM CREATININE AND HOSPITAL MORTALITY

30 qSOFA Outperforms CRB, CRB-65 and CRB-65 Plus: A Multicenter US Observational Study

702: Acute kidney injury and prolonged hospitalization affect survival after postoperative severe sepsis

Transformer Models for Acute Brain Dysfunction Prediction

1619: INCREASING SOFA SCORE GRANULARITY WITH DEEP LEARNING

964: INTRAOPERATIVE DATA ENABLES MACHINE LEARNING CLASSIFIERS TO BETTER PREDICT POSTOPERATIVE ACUTE KIDNE

AlkAline phosphAtAse And outcome of pAtient with Acute pulmonAry embolism

Aged Mice Are Unable To Mount an Effective Myeloid Response to Sepsis

703: Algorithms can accurately predict risk for major postoperative complications using preoperative data

702: Acute kidney injury and prolonged hospitalization affect survival after postoperative severe sepsis

ImpRovIng CaRdIaC SuRgeRy outComeS

1009: Postoperative acute kidney injury contributes to the increasing hospital cost in severe sepsis

693: Major complications after general surgery are associated with an increase in long-term mortality

688: Preoperative socioeconomic and clinical variables predict number of complications after surgery

729: EFFECT OF POSTOPERATIVE ACUTE KIDNEY INJURY ON HOSPITAL COST

506: CREATININE CLEARANCE PREDICTS POOR OUTCOME IN EMERGENCY DEPARTMENT PRESENTATION OF PEDIATRIC SEPSIS