Published on in Vol 23, No 12 (2021): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/29812, first published
.
Journals
- Schallmoser S, Zueger T, Kraus M, Saar-Tsechansky M, Stettler C, Feuerriegel S. Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study. Journal of Medical Internet Research 2023;25:e42181 View
- Naumzik C, Feuerriegel S, Nielsen A. Data-driven dynamic treatment planning for chronic diseases. European Journal of Operational Research 2023;305(2):853 View
- Kovács A, Tokodi M. Refining Echocardiographic Surveillance of Aortic Stenosis Using Machine Learning. JACC: Cardiovascular Imaging 2023;16(6):745 View
- Alkhodari M, Xiong Z, Khandoker A, Hadjileontiadis L, Leeson P, Lapidaire W. The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare. Expert Review of Cardiovascular Therapy 2023;21(7):531 View
- Denck J, Ozkirimli E, Wang K. Machine-learning-based adverse drug event prediction from observational health data: A review. Drug Discovery Today 2023;28(9):103715 View
- Annareddy S, Ghewade B, Jadhav U, Wagh P. Unraveling the Predictive Potential of Rapid Scoring in Pleural Infection: A Critical Review. Cureus 2023 View
- Carrasco-Ribelles L, Llanes-Jurado J, Gallego-Moll C, Cabrera-Bean M, Monteagudo-Zaragoza M, Violán C, Zabaleta-del-Olmo E. Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review. Journal of the American Medical Informatics Association 2023;30(12):2072 View
- Kraus M, Feuerriegel S, Saar-Tsechansky M. Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manufacturing & Service Operations Management 2024;26(1):137 View
- Shi J, Bendig D, Vollmar H, Rasche P. Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study. Journal of Medical Internet Research 2023;25:e45815 View
- Pingi S, Zhang D, Bashar M, Nayak R. Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Science and Engineering 2024;9(1):5 View
- Wang Y, Li N, Chen L, Wu M, Meng S, Dai Z, Zhang Y, Clarke M. Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review. Journal of Medical Internet Research 2023;25:e46089 View
- Qian Y, Alhaskawi A, Dong Y, Ni J, Abdalbary S, Lu H. Transforming medicine: artificial intelligence integration in the peripheral nervous system. Frontiers in Neurology 2024;15 View
- Palmowski L, Nowak H, Witowski A, Koos B, Wolf A, Weber M, Kleefisch D, Unterberg M, Haberl H, von Busch A, Ertmer C, Zarbock A, Bode C, Putensen C, Limper U, Wappler F, Köhler T, Henzler D, Oswald D, Ellger B, Ehrentraut S, Bergmann L, Rump K, Ziehe D, Babel N, Sitek B, Marcus K, Frey U, Thoral P, Adamzik M, Eisenacher M, Rahmel T, Lazzeri C. Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction. PLOS ONE 2024;19(3):e0300739 View
- Wang K, Barton D, McQuillan L, Kobeissy F, Cai G, Xu H, Yang Z, Trifilio E, Williamson J, Rubenstein R, Robertson C, Wagner A. Parallel Cerebrospinal Fluid and Serum Temporal Profile Assessment of Axonal Injury Biomarkers Neurofilament-Light Chain and Phosphorylated Neurofilament-Heavy Chain: Associations With Patient Outcome in Moderate-Severe Traumatic Brain Injury. Journal of Neurotrauma 2024;41(13-14):1609 View
- Zwaag S, Hunault C, de Lange D. Predicting the outcome in poisoned patients: look at the past!. Clinical Toxicology 2024;62(3):139 View
- Kurasawa H, Waki K, Seki T, Chiba A, Fujino A, Hayashi K, Nakahara E, Haga T, Noguchi T, Ohe K. Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development. JMIR AI 2024;3:e56700 View
- Jørgensen I, Haue A, Placido D, Hjaltelin J, Brunak S. Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives. Annual Review of Biomedical Data Science 2024;7(1):251 View
- Lisik D, Milani G, Salisu M, Özuygur Ermis S, Goksör E, Basna R, Wennergren G, Kankaanranta H, Nwaru B. Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review. BMJ Open 2024;14(8):e080263 View
- SENMAN B, SINGH A, KADOSH B, KATZ J. How Steep is Your Slide? I Really Mean to Learn. Journal of Cardiac Failure 2024;30(10):1208 View
- Patharkar A, Cai F, Al-Hindawi F, Wu T. Predictive modeling of biomedical temporal data in healthcare applications: review and future directions. Frontiers in Physiology 2024;15 View
Books/Policy Documents
- D’hondt R, Moylett S, Goris A, Vens C. Artificial Intelligence in Medicine. View