Search

Your search keyword '"Geierhofer, Regina"' showing total 7 results
Start Over Author "Geierhofer, Regina"
7 results on '"Geierhofer, Regina"'

1. Machine Learning for Health: Algorithm Auditing & Quality Control

Author

Oala, Luis, Murchison, Andrew G., Balachandran, Pradeep, Choudhary, Shruti, Fehr, Jana, Leite, Alixandro Werneck, Goldschmidt, Peter G., Johner, Christian, Schörverth, Elora D. M., Nakasi, Rose, Meyer, Martin, Cabitza, Federico, Baird, Pat, Prabhu, Carolin, Weicken, Eva, Liu, Xiaoxuan, Wenzel, Markus, Vogler, Steffen, Akogo, Darlington, Alsalamah, Shada, Kazim, Emre, Koshiyama, Adriano, Piechottka, Sven, Macpherson, Sheena, Shadforth, Ian, Geierhofer, Regina, Matek, Christian, Krois, Joachim, Sanguinetti, Bruno, Arentz, Matthew, Bielik, Pavol, Calderon-Ramirez, Saul, Abbood, Auss, Langer, Nicolas, Haufe, Stefan, Kherif, Ferath, Pujari, Sameer, Samek, Wojciech, and Wiegand, Thomas

Published
2021
Full Text
View/download PDF

2. The Evaluation of Semantic Tools to Support Physicians in the Extraction of Diagnosis Codes

Author

Geierhofer, Regina, Holzinger, Andreas, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Holzinger, Andreas, editor

Published
2007
Full Text
View/download PDF

3. Artificial Intelligence in Healthcare : Directions of Standardization

Author

Hoc Group on Application of AI Technologies, Alcini, Paolo, Baird, Pat, Williams, Peter, Bhattacharyya, SB, Cooper, Todd, de la Cruz, Rich, Kumar, Chandan, Datta, Gora, De Marco, Dorotea Alessandra, Franken, Andreas, Geierhofer, Regina, Goldschmidt, Peter G., Juuso, Ilkka, Klimenko, Herman, Kung, Antonio, Laroche, Frederic, Lewelling, Joe, Meyer, Martin, Morozov, Sergey, Orlova, Anna, Panagiotis, Telonis, Penzel, Thomas, Ritz, Derek, Sander, Gaur, Shin, Soo-Yong, Värri, Alpo, Vladzimerskiy, Anton, Lebedev, Georgy, Lim, Chee-Peng, Chen, Yen-Wei, Vaidya, Ashlesha, Mahorkar, Charu, Jain, Lakhmi C., Tampere University, and BioMediTech

Subjects
Standardization, business.industry, Computer science, media_common.quotation_subject, Equity (finance), Legislation, Health informatics, Field (computer science), Health care, Mainstream, Quality (business), Artificial intelligence, 3111 Biomedicine, business, media_common
Abstract

Artificial intelligence (AI) can have a significant positive impact on health and healthcare. AI can be used to improve the quality, efficiency and equity of health care. However, AI has the potential to have significant negative impacts. Therefore, AI medical applications should be designed and deployed in accordance with established guidelines and legislation. There may be gaps or questions in the current regulatory framework related to the interpretation and application of the existing regulatory framework to healthcare applications that include artificial intelligence solutions. Global standardization maintains a consistent approach and can reduce the burden on stakeholders when it comes to establishing regulatory frameworks, interpreting and complying with regulatory requirements. While AI is far from new, it has only recently become mainstream. This chapter outlines the research of the authors who are members of the Hoc Group on Application of AI Technologies in Health Informatics (ISO AHG2 TC215), which was formed by ISO Technical Committee 215 to define goals and directions for standardization in the field of AI in health care. acceptedVersion

Published
2022

7. The Evaluation of Semantic Tools to Support Physicians in the Extraction of Diagnosis Codes.

Author

Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Geierhofer, Regina, and Holzinger, Andreas

Abstract

Over the past few years the extraction of medical information from German medical reports by means of semantic approaches and algorithms has been an increasing area of research. Currently, several tools are available that aim to support the physician in different ways. We developed a method to evaluate these tools in their ability to extract information from large amounts of data. We tested two off-the-shelf tools that worked in a background mode. We found that the field of quality management made it necessary that these large amounts of data could be background or batch processed. Additionally, we developed a metric, based on the semantic distance of the ICD codes, in order to improve the comparison of the accuracy of the codes suggested by the tools. The results of our evaluation showed that, at present, the tools are capable of supporting inexperienced physicians, however are still not sophisticated enough to work without human interaction. [ABSTRACT FROM AUTHOR]

Published
2007
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results