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Screening drugs for bone fracture risk: a nation-wide longitudinal study using the national SNDS claims database



Real-World Evidence, Causal Inference, and Machine Learning.


Observational Healthcare sentence examples within observational healthcare databasis



Design Matters in Patient-Level Prediction: Evaluation of a Cohort vs. Case-Control Design When Developing Predictive Models in Observational Healthcare Datasets



Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets


Observational Healthcare sentence examples within observational healthcare datum



Increasing trust in real-world evidence through evaluation of observational data quality



Increasing Trust in Real-World Evidence Through Evaluation of Observational Data Quality



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Design Matters in Patient-Level Prediction: Evaluation of a Cohort vs. Case-Control Design When Developing Predictive Models in Observational Healthcare Datasets



Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets



An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction



Increasing trust in real-world evidence through evaluation of observational data quality



Increasing Trust in Real-World Evidence Through Evaluation of Observational Data Quality



Evaluating the Impact of Covariate Lookback Times on Performance of Patient-Level Prediction Models



Characterizing Post-Acute Sequelae of SARS-CoV-2 Infection across Claims and Electronic Health Record Databases



Evaluating the impact of covariate lookback times on performance of patient-level prediction models



Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s Disease



Pharmacoepidemiology and Big Data Analytics: Challenges and Opportunities when Moving towards Precision Medicine.



Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data



Screening drugs for bone fracture risk: a nation-wide longitudinal study using the national SNDS claims database


More Observational Healthcare sentence examples
10.1109/BIBM47256.2019.8983339

Supervised Mixture Models for Population Health



From Data Silos to Standardized, Linked, and FAIR Data for Pharmacovigilance: Current Advances and Challenges with Observational Healthcare Data



Computational Advances in Drug Safety: Systematic and Mapping Review of Knowledge Engineering Based Approaches



PheValuator: Development and evaluation of a phenotype algorithm evaluator



Real-World Evidence, Causal Inference, and Machine Learning.


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Observational Healthcare
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