Cambridge, MA, United States of America

Wangzhi Dai


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2023

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Wangzhi Dai

Introduction

Wangzhi Dai is an accomplished inventor based in Cambridge, MA. He has made significant contributions to the field of machine learning and clinical risk prediction. With a total of 3 patents, his work focuses on enhancing predictive modeling techniques.

Latest Patents

Wangzhi Dai's latest patents include innovative methods for data model processing in machine learning. One of his notable inventions involves a computer system that selects features of a dataset for predictive modeling. This system identifies a first set of relevant features from a dataset comprising various cases and controls. It then analyzes a subset of cases and controls with similar values to select additional features relevant to the outcome. The invention evaluates two predictive models to determine which one more accurately predicts outcomes, utilizing the second model for predictions.

Another significant patent addresses the assessment of unreliability in clinical risk prediction. This invention identifies estimated clinical risk scores for two groups of patients and generates an alternative probability estimate using the same inputs. It determines the unreliability of a patient's clinical risk score based on patient features and the difference between the alternative estimate and the determined score.

Career Highlights

Wangzhi Dai has worked with prestigious organizations such as IBM and the Massachusetts Institute of Technology. His experience in these institutions has allowed him to collaborate on groundbreaking research and development projects.

Collaborations

Wangzhi Dai has collaborated with notable professionals in his field, including Paul D Myers and Uri Kartoun. These partnerships have contributed to the advancement of his innovative work.

Conclusion

Wangzhi Dai's contributions to machine learning and clinical risk prediction demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of predictive modeling and its applications in real-world scenarios.

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