Vincent Liu to Electronic Health Records
This is a "connection" page, showing publications Vincent Liu has written about Electronic Health Records.
Connection Strength
3.855
-
Assessment of Electronic Health Record Search Patterns and Practices by Practitioners in a Large Integrated Health Care System. JAMA Netw Open. 2020 03 02; 3(3):e200512.
Score: 0.481
-
Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning. J Am Med Inform Assoc. 2019 12 01; 26(12):1466-1477.
Score: 0.473
-
Innovation and Technology: Electronic Intensive Care Unit Diaries. AACN Adv Crit Care. 2017; 28(2):191-199.
Score: 0.386
-
Can You Read Me Now? Unlocking Narrative Data with Natural Language Processing. Ann Am Thorac Soc. 2016 09; 13(9):1443-5.
Score: 0.378
-
What's so different about big data?. A primer for clinicians trained to think epidemiologically. Ann Am Thorac Soc. 2014 Sep; 11(7):1130-5.
Score: 0.329
-
An electronic Simplified Acute Physiology Score-based risk adjustment score for critical illness in an integrated healthcare system. Crit Care Med. 2013 Jan; 41(1):41-8.
Score: 0.293
-
Length of stay predictions: improvements through the use of automated laboratory and comorbidity variables. Med Care. 2010 Aug; 48(8):739-44.
Score: 0.248
-
Unsupervised probabilistic models for sequential Electronic Health Records. J Biomed Inform. 2022 10; 134:104163.
Score: 0.143
-
Nonstationary multivariate Gaussian processes for electronic health records. J Biomed Inform. 2021 05; 117:103698.
Score: 0.129
-
Predicting preventable hospital readmissions with causal machine learning. Health Serv Res. 2020 12; 55(6):993-1002.
Score: 0.126
-
Assessment of Value of Neighborhood Socioeconomic Status in Models That Use Electronic Health Record Data to Predict Health Care Use Rates and Mortality. JAMA Netw Open. 2020 10 01; 3(10):e2017109.
Score: 0.125
-
The number needed to benefit: estimating the value of predictive analytics in healthcare. J Am Med Inform Assoc. 2019 12 01; 26(12):1655-1659.
Score: 0.118
-
Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models. J Biomed Inform. 2018 02; 78:33-42.
Score: 0.103
-
Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals. J Hosp Med. 2016 11; 11 Suppl 1:S18-S24.
Score: 0.095
-
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. J Biomed Inform. 2016 12; 64:10-19.
Score: 0.095
-
The Accuracy of an Electronic Pulmonary Embolism Severity Index Auto-Populated from the Electronic Health Record: Setting the stage for computerized clinical decision support. Appl Clin Inform. 2015; 6(2):318-33.
Score: 0.086
-
Data breaches of protected health information in the United States. JAMA. 2015 Apr 14; 313(14):1471-3.
Score: 0.086
-
Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study. BMJ. 2021 08 11; 374:n1747.
Score: 0.033
-
Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration. N Engl J Med. 2020 11 12; 383(20):1951-1960.
Score: 0.032
-
Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system. Pharmacogenet Genomics. 2019 10; 29(8):192-199.
Score: 0.029
-
Prediction of Recurrent Clostridium Difficile Infection Using Comprehensive Electronic Medical Records in an Integrated Healthcare Delivery System. Infect Control Hosp Epidemiol. 2017 10; 38(10):1196-1203.
Score: 0.025
-
DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELS. Pac Symp Biocomput. 2016; 21:144-55.
Score: 0.023
-
Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity. BMC Health Serv Res. 2014 May 10; 14:213.
Score: 0.020