… Given the model’s accuracy, particularly with regard to its negative predictive value, it was
embedded into our center’s EHR and offers a prediction of PAC discharge for every patient on …

… ’s EHR and offers a prediction of PAC discharge for every patient on admission. The
predictor selection is another area that our model advances prior research, particularly in using …

… cohort identification using electronic medical records. Statistical … textual document in the
EHR, such as discharge summaries, … from PubMed and EHRs for predicting pancreatic cancer. …

… We sought to develop and internally validate a model which predicts a patient’s likelihood of
… data and commonly used nursing assessments from the electronic health record (EHR) for …

… not directly in electronic health record (EHR) that are … , we adopt and estimate the same
parameter triplet in cohort … hyperglycemia and even sepsis approaching ICU discharge. …

… Our study therefore includes binary phenotypes such as the … Clinical note types (eg, progress
notes and discharge … extracted from patient records, such as the frequency of phenotype-…

… On the other hand, unstructured data, such as radiology reports, pathology reports, discharge
… diseases need a wide range of clinical data sources to determine actual phenotype status. …

… longitudinal patient information in electronic health records (EHRs) … of phenotype algorithms
using electronic medical records and … and their assertions from discharge summaries. J. Am. …

… admission and discharge notes (2010–2015), and using the … phenotypic hypotheses not
addressed by structured clinical … words to predictions, we weighted this word cloud using the …

… and phenotypic data contained in health system EHRs can … codes in a Swedish Hospital
Discharge Registry [3]), but … regression model using the note-level predicted bipolar disorder …