Ensure that the key variables selected for the study are in the EMRs.
Protocol and SAP/PAP (Statistical Analysis Plan) documentation preparation.
Evaluation of the quantity and quality of data for NLP development.
Summary statistics for:
Fit-for-purpose NLP models are built based on the objectives of the study.
Advanced NLP goes beyond codifying or one-time extraction of variables from text. It requires a deep clinical understanding of how EHRs are populated and what inferences need to be made to extract knowledge from each situation and for a given purpose.
Within the selected and approved sites, we evaluate them and SM4RS launch.
Descriptive and predictive data analysis.
Results analysis evaluation.
Clinical characteristics and prognostic factors for ICU admission of patients with covid-19: Retrospective Study Using Machine Learning and Natural Language Processing.
Clinical Management of COPD in a Real-World Setting. A Big Data Analysis.