A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study. JMIR Medical Informatics, (11):e43847, JMIR Publications Toronto, Canada, 2023. [PUMA: scalable clinical pipeline ai data application standardized from:scadsfct (fhir-dhp) deployment harmonization]
A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study. JMIR Medical Informatics, (11):e43847, JMIR Publications Toronto, Canada, 2023. [PUMA: (fhir-dhp) ai application clinical data deployment harmonization pipeline scalable standardized]
Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology. BMC Med. Inform. Decis. Mak., (20)1:28, February 2020. [PUMA: Clinical Computer Data Haematology; Individual Mathematical Model-based Routine Support decision-making; management; modelling; optimization; planning; simulation; system therapy treatment workflow;]
Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network. Am. J. Hum. Genet., (108)10:1946--1963, Elsevier BV, October 2021. [PUMA: Diseases Network; UDN; Undiagnosed clinical digenic disease disease; learning; machine oligogenic prediction; rare topic_lifescience]
Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts. Mol. Metab., (29):76--85, Elsevier BV, November 2019. [PUMA: Acylcarnitines; Amino Clinical Lifestyle Metabolomics; Network acids; analysis factors;]
Ten topics to get started in medical informatics research. J. Med. Internet Res., (25):e45948, July 2023. [PUMA: clinical communication; data data; digital health health; informatics; interdisciplinary medical research]