A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. Scientific reports, (14)1Nature Publishing Group, Jan 27, 2024. [PUMA: Databases, Electronic FIS_scads Factual, Health Humans, Informatics, Learning, Machine Medical Records topic_lifescience]
Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research, (25)JMIR Publications Inc., Jul 24, 2023. [PUMA: topic_lifescience Algorithms, Clinical Curriculum, Digital FIS_scads Germany, Health Humans, Informatics, Interdisciplinary Medical Research clinical communication, data, digital health health, informatics informatics, interdisciplinary medical research]
SetQuence & SetOmic: Deep set transformers for whole genome and exome tumour analysis. BioSystems, (235)Elsevier, January 2024. [PUMA: topic_federatedlearn livinglab Artificial Biomedical Exome/genetics, FIS_scads Humans, Intelligence, Medical Neoplasms/genetics Oncology, Research,]
Uncertainty estimation in medical image classification: Systematic review. JMIR Med. Inform., (10)8:e36427, August 2022. [PUMA: topic_lifescience calibration; classification; deep detection; estimation image imaging; learning; medical network out-of-distribution uncertainty]
Markov state modelling of disease courses and mortality risks of patients with community-acquired pneumonia. J. Clin. Med., (9)2:393, MDPI AG, February 2020. [PUMA: Markov SOFA community-acquired continuous-time decision making; medical model model; pneumonia; prognosis; score; sepsis; stochastic]
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Med., (104)101842:101842, Elsevier BV, April 2020. [PUMA: Arden Decision Head Medical Therapy and decision delay; logic model modules; neck oncology; support syntax; system;]
Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. J. Med. Imaging (Bellingham), (10)4:044502, SPIE-Intl Soc Optical Eng, July 2023. [PUMA: topic_visualcomputing graph imaging; learning; machine medical multi-modal networks; neural prediction stroke]