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Annet Sollie

Showing results (1-10 of 8) with videos related to

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Huisarts En Wetenschap|August 25, 2020
Geert Elbers, Annet Sollie
International Journal of Medical Informatics|January 26, 2017
Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnosesAnnet Sollie, Rolf H Sijmons, Charles Helsper, et al.
JMIR Medical Informatics|April 20, 2022
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility StudyJosefien Van Olmen, Jens Van Nooten, Hilde Philips, et al.
BMJ Open|September 17, 2016
Do GPs know their patients with cancer? Assessing the quality of cancer registration in Dutch primary care: a cross-sectional validation studyAnnet Sollie, Jessika Roskam, Rolf H Sijmons, et al.
Clinical and Translational Medicine|May 3, 2019
Genetics in primary care: validating a tool to pre-symptomatically assess common disease risk using an Australian questionnaire on family historyElisa J F Houwink, Olga R Hortensius, Kees van Boven, et al.
The Cochrane Database of Systematic Reviews|May 18, 2017
Interventions for cutaneous molluscum contagiosumJohannes C van der Wouden, Renske van der Sande, Emma J Kruithof, et al.
Database : the Journal of Biological Databases and Curation|September 20, 2015
SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype dataChao Pang, Annet Sollie, Anna Sijtsma, et al.
Human Mutation|March 19, 2013
A new coding system for metabolic disorders demonstrates gaps in the international disease classifications ICD-10 and SNOMED-CT, which can be barriers to genotype-phenotype data sharingAnnet Sollie, Rolf H Sijmons, Dick Lindhout, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Huisarts En Wetenschap|August 25, 2020
Geert Elbers, Annet Sollie
International Journal of Medical Informatics|January 26, 2017
Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnosesAnnet Sollie, Rolf H Sijmons, Charles Helsper, et al.
JMIR Medical Informatics|April 20, 2022
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility StudyJosefien Van Olmen, Jens Van Nooten, Hilde Philips, et al.
BMJ Open|September 17, 2016
Do GPs know their patients with cancer? Assessing the quality of cancer registration in Dutch primary care: a cross-sectional validation studyAnnet Sollie, Jessika Roskam, Rolf H Sijmons, et al.
Clinical and Translational Medicine|May 3, 2019
Genetics in primary care: validating a tool to pre-symptomatically assess common disease risk using an Australian questionnaire on family historyElisa J F Houwink, Olga R Hortensius, Kees van Boven, et al.
The Cochrane Database of Systematic Reviews|May 18, 2017
Interventions for cutaneous molluscum contagiosumJohannes C van der Wouden, Renske van der Sande, Emma J Kruithof, et al.
Database : the Journal of Biological Databases and Curation|September 20, 2015
SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype dataChao Pang, Annet Sollie, Anna Sijtsma, et al.
Human Mutation|March 19, 2013
A new coding system for metabolic disorders demonstrates gaps in the international disease classifications ICD-10 and SNOMED-CT, which can be barriers to genotype-phenotype data sharingAnnet Sollie, Rolf H Sijmons, Dick Lindhout, et al.
Pageof 1