Bloomington, MN, United States of America

Marie Louise Setnes

USPTO Granted Patents = 17 (Patent Applications = 4)

Average Co-Inventor Count = 3.2

ph-index = 4

Forward Citations = 36(Granted Patents)

Location History:

Minneapolis, MN (US) (2015)
Rochester, MN (US) (2014 - 2017)
Bloomington, MN (US) (2016 - 2023)

Company Filing History:

16 out of 164,108

International Business Machines Corporation

Years Active: 2014-2023

where 'Filed Patents' based on already Granted Patents

17 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11735320 - Dynamic creation and manipulation of data visualizations (2023-08-22),

2. 11289203 - Customized aggregate scoring using machine learning (2022-03-29),

3. 11204691 - Reducing input requests in response to learned user preferences (2021-12-21),

4. 10748657 - Rationale generation management (2020-08-18),

5. 10437836 - Scoring attributes in a deep question answering system based on syntactic or semantic guidelines (2019-10-08),

6. 10437835 - Scoring attributes in a deep question answering system based on syntactic or semantic guidelines (2019-10-08),

7. 10127284 - Scoring attributes in deep question answering systems based on algorithmic source code influences (2018-11-13),

8. 10120910 - Scoring attributes in deep question answering systems based on algorithmic source code influences (2018-11-06),

9. 10074447 - Rationale generation management (2018-09-11),

10. 10031912 - Verification of natural language processing derived attributes (2018-07-24),

11. 9946747 - Answer category data classifying using dynamic thresholds (2018-04-17),

12. 9720963 - Answer category data classifying using dynamic thresholds (2017-08-01),

13. 9635099 - Federating applications providing modular data (2017-04-25),

14. 9542388 - Identifying unchecked criteria in unstructured and semi-structured data (2017-01-10),

15. 9430464 - Identifying unchecked criteria in unstructured and semi-structured data (2016-08-30),

Title: Marie Louise Setnes: Innovator in Data Visualization and Medical Scoring Systems

Introduction

Marie Louise Setnes is a prominent inventor based in Bloomington, MN (US), known for her significant contributions to the fields of data visualization and medical treatment scoring systems. With a remarkable portfolio of 17 patents, she has developed innovative techniques that enhance the way data is represented and utilized in medical contexts.

Latest Patents

Among her latest patents, Setnes has introduced groundbreaking methods for the dynamic creation and manipulation of data visualizations. This patent outlines techniques for visualizing data through a guideline tree, where each leaf node represents a therapy and each edge signifies a guideline. The system generates customized visual depictions based on patient attributes, allowing for tailored therapeutic approaches. Additionally, her patent on customized aggregate scoring using machine learning revolutionizes how medical treatment options are evaluated. By assigning weights to various medical perspectives and aggregating scores, her system provides a comprehensive ranking of treatment options, enhancing decision-making in healthcare.

Career Highlights

Setnes has had a distinguished career, working with notable companies such as IBM and Merative US L.P. Her experience in these organizations has allowed her to refine her skills and contribute to innovative projects that bridge technology and healthcare.

Collaborations

Throughout her career, Setnes has collaborated with esteemed colleagues, including Thomas John Eggebraaten and Roberto Delima. These partnerships have fostered a creative environment that has led to the development of her influential patents.

Conclusion

Marie Louise Setnes stands out as a leading inventor whose work in data visualization and medical scoring systems has made a significant impact in her field. Her innovative patents and collaborations reflect her dedication to advancing technology in healthcare.

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4 patents pending:

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