Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse
The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy. The study highlights the difficulties faced in sharing tools and resources in this domain and presents the experience of the Greater Paris University Hospitals (AP-HP for Assistance Publique-Hôpitaux de Paris) in implementing a systematic pseudonymization of text documents from its Clinical Data Warehouse.METHODS: We annotated a corpus of clinical documents according to 12 types of identifying entities and built a hybrid system, merging the res...
Source: Methods of Information in Medicine - March 5, 2024 Category: Information Technology Authors: Xavier Tannier Perceval Wajsb ürt Alice Calliger Basile Dura Alexandre Mouchet Martin Hilka Romain Bey Source Type: research
Anthropometric, neuromuscular, physiologic and training variables as determinants to laboratory cycling performance
CONCLUSIONS: These results suggest that training characteristics and experience are important when training for incremental cycling conditions, whereas cadence (and its determinant variables) should be looked at during maximal and exhaustive conditions.PMID:38411044 | DOI:10.23736/S0022-4707.24.15547-8 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: F ábio J Lanferdini Rafael L Kons Daniele Detanico Juliano Dal Pupo Ricardo D DE Lucas Marco A Vaz Source Type: research
Comparison of different VO2max scaling models in male and female non-obese and obese adults
CONCLUSIONS: Interpretation of aerobic power and comparisons would be most appropriate when allometrically scaled to the metabolically active tissue (LFFM). Bias is introduced when scaling to BM and comparing individuals of various body compositions.PMID:38411045 | DOI:10.23736/S0022-4707.24.15631-9 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: Riley Galloway Scott Owens Heontae Kim Martha Bass Minsoo Kang Mark Loftin Source Type: research
Anthropometric, neuromuscular, physiologic and training variables as determinants to laboratory cycling performance
CONCLUSIONS: These results suggest that training characteristics and experience are important when training for incremental cycling conditions, whereas cadence (and its determinant variables) should be looked at during maximal and exhaustive conditions.PMID:38411044 | DOI:10.23736/S0022-4707.24.15547-8 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: F ábio J Lanferdini Rafael L Kons Daniele Detanico Juliano Dal Pupo Ricardo D DE Lucas Marco A Vaz Source Type: research
Comparison of different VO2max scaling models in male and female non-obese and obese adults
CONCLUSIONS: Interpretation of aerobic power and comparisons would be most appropriate when allometrically scaled to the metabolically active tissue (LFFM). Bias is introduced when scaling to BM and comparing individuals of various body compositions.PMID:38411045 | DOI:10.23736/S0022-4707.24.15631-9 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: Riley Galloway Scott Owens Heontae Kim Martha Bass Minsoo Kang Mark Loftin Source Type: research
Anthropometric, neuromuscular, physiologic and training variables as determinants to laboratory cycling performance
CONCLUSIONS: These results suggest that training characteristics and experience are important when training for incremental cycling conditions, whereas cadence (and its determinant variables) should be looked at during maximal and exhaustive conditions.PMID:38411044 | DOI:10.23736/S0022-4707.24.15547-8 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: F ábio J Lanferdini Rafael L Kons Daniele Detanico Juliano Dal Pupo Ricardo D DE Lucas Marco A Vaz Source Type: research
Comparison of different VO2max scaling models in male and female non-obese and obese adults
CONCLUSIONS: Interpretation of aerobic power and comparisons would be most appropriate when allometrically scaled to the metabolically active tissue (LFFM). Bias is introduced when scaling to BM and comparing individuals of various body compositions.PMID:38411045 | DOI:10.23736/S0022-4707.24.15631-9 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: Riley Galloway Scott Owens Heontae Kim Martha Bass Minsoo Kang Mark Loftin Source Type: research
Anthropometric, neuromuscular, physiologic and training variables as determinants to laboratory cycling performance
CONCLUSIONS: These results suggest that training characteristics and experience are important when training for incremental cycling conditions, whereas cadence (and its determinant variables) should be looked at during maximal and exhaustive conditions.PMID:38411044 | DOI:10.23736/S0022-4707.24.15547-8 (Source: Methods of Information in Medicine)
Source: Methods of Information in Medicine - February 27, 2024 Category: Information Technology Authors: F ábio J Lanferdini Rafael L Kons Daniele Detanico Juliano Dal Pupo Ricardo D DE Lucas Marco A Vaz Source Type: research
