ECS 289 Notes

Navigating Longitudinal Clinical Notes with an Automated Method for Detecting New Information

Automated methods to detect new information in clinical notes may be valuable for navigating and using information in these documents for patient care. Statistical language models were evaluated as a means to quantify new information over longitudinal clinical notes for a given patient. The new information proportion (NIP) in target notes decreased logarithmically with increasing numbers of pre...

Lecture Notes for ECS 289A: Theory of Molecular Computation

Improving Patients' Electronic Health Record Comprehension with NoteAid

Allowing patients direct access to their electronic health record (EHR) notes has been shown to enhance medical understanding and may improve healthcare management and outcome. However, EHR notes contain medical terms, shortened forms, complex disease and medication names, and other domain specific jargon that make them difficult for patients to fathom. In this paper, we present a BioNLP system...

Ray Weaver and Drazen Prelec*

Vol. L (June 2013), 289–302 289 *Ray Weaver is Assistant Professor of Business Administration, Harvard Business School, Harvard University (e-mail: [email protected]). Drazen Prelec is Professor of Management, Management Science and Economics, MIT Sloan School of Management, Massachusetts Institute of Technology (e-mail: [email protected]). This research was supported by NSF SES0519141 and the John...

Creating Truth-Telling Incentives with the Bayesian Truth Serum

Vol. L (June 2013), 289–302 289 *Ray Weaver is Assistant Professor of Business Administration, Harvard Business School, Harvard University (e-mail: [email protected]). Drazen Prelec is Professor of Management, Management Science and Economics, MIT Sloan School of Management, Massachusetts Institute of Technology (e-mail: [email protected]). This research was supported by NSF SES0519141 and the John...