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2023, 'Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: achieving state-of-the-art predictive performance with fewer data using Swin Transformer', Journal of Pathology: Clinical Research, 9, pp. 223 - 235, http://dx.doi.org/10.1002/cjp2.312
,2023, 'Artificial intelligence based personalized predictive survival among colorectal cancer patients', Computer Methods and Programs in Biomedicine, 231, http://dx.doi.org/10.1016/j.cmpb.2023.107435
,2023, 'Diminishing benefits of urban living for children and adolescents’ growth and development', Nature, 615, pp. 874 - 883, http://dx.doi.org/10.1038/s41586-023-05772-8
,2023, 'Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe', Journal of Asthma, 60, pp. 76 - 86, http://dx.doi.org/10.1080/02770903.2021.2025392
,2023, 'Focused Chest Pain Assessment for Early Detection of Acute Coronary Syndrome: Development of a Cardiovascular Digital Health Intervention', Global heart, 17, pp. 18, http://dx.doi.org/10.5334/gh.1194
,2023, 'Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images.', JCO Precis Oncol, 7, pp. e2200522, http://dx.doi.org/10.1200/PO.22.00522
,2022, 'Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network', BMC Medical Research Methodology, 22, pp. 35, http://dx.doi.org/10.1186/s12874-022-01505-z
,2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, pp. 14527, http://dx.doi.org/10.1038/s41598-022-18647-1
,2022, 'Colorectal Cancer Survival Prediction Using Deep Distribution Based Multiple-Instance Learning', Entropy, 24, http://dx.doi.org/10.3390/e24111669
,2022, 'A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients', Medicina (Kaunas, Lithuania), 58, pp. 1568 - 1568, http://dx.doi.org/10.3390/medicina58111568
,2022, 'A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer', Journal of Cancer Research and Clinical Oncology, 148, pp. 1955 - 1963, http://dx.doi.org/10.1007/s00432-022-03976-5
,2022, 'Statin Prescription Patterns and Associations with Subclinical Inflammation', Medicina (Lithuania), 58, pp. 1096 - 1096, http://dx.doi.org/10.3390/medicina58081096
,2022, 'Towards Equitable and Resilient Digital Primary Care Systems: An International Comparison and Insight for Moving Forward', Yearbook of medical informatics, 31, pp. 47 - 59, http://dx.doi.org/10.1055/s-0042-1742502
,2022, 'Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort', JAMA Network Open, 5, pp. E223877, http://dx.doi.org/10.1001/jamanetworkopen.2022.3877
,2022, 'Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia', Healthcare (Switzerland), 10, http://dx.doi.org/10.3390/healthcare10020204
,2021, 'The OpenDeID corpus for patient de-identification', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-99554-9
,2021, 'A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer', arXiv, http://dx.doi.org/10.48550/arxiv.2111.03532
,2021, 'Characteristics and outcomes of over 300,000 patients with COVID-19 and history of cancer in the United States and Spain', Cancer Epidemiology Biomarkers and Prevention, 30, pp. 1884 - 1894, http://dx.doi.org/10.1158/1055-9965.EPI-21-0266
,2021, 'Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension', International Journal of Medical Informatics, 154, http://dx.doi.org/10.1016/j.ijmedinf.2021.104569
,2021, 'Use of repurposed and adjuvant drugs in hospital patients with covid-19: Multinational network cohort study', The BMJ, 373, http://dx.doi.org/10.1136/bmj.n1038
,2021, 'Implementation of the COVID-19 vulnerability index across an international network of health care data sets: Collaborative external validation study', JMIR Medical Informatics, 9, http://dx.doi.org/10.2196/21547
,2021, 'Quality assessment of real-world data repositories across the data life cycle: A literature review', Journal of the American Medical Informatics Association, http://dx.doi.org/10.1093/jamia/ocaa340
,2021, 'Moving with the Times: The Health Science Alliance (HSA) Biobank, Pathway to Sustainability', Biomarker Insights, 16, pp. 1 - 10, http://dx.doi.org/10.1177/11772719211005745
,2021, 'Radical collaboration during a global health emergency: Development of the RDA COVID-19 data sharing recommendations and guidelines', Open Research Europe, 1, pp. 69 - 69, http://dx.doi.org/10.12688/openreseurope.13369.1
,2021, 'Characterizing Dual Combination Therapy Use in Treatment Escalation of Hypertension: Real-World Evidence from Multinational Cohorts', Cold Spring Harbor Laboratory, http://dx.doi.org/10.1101/2021.06.28.21258167
,2021, 'Cohort selection for construction of a clinical natural language processing corpus', Computer Methods and Programs in Biomedicine Update, 1, pp. 100024 - 100024, http://dx.doi.org/10.1016/j.cmpbup.2021.100024
,2021, 'COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries', Rheumatology
,2021, 'From telehealth to virtual primary care in Australia? A Rapid Scoping Review', International Journal of Medical Informatics, pp. 104470 - 104470
,2021, 'Primary Care Informatics Response to Covid-19 Pandemic: Adaptation, Progress, and Lessons from Four Countries with High ICT Development', Yearbook of Medical Informatics
,2020, 'Family history information extraction with neural attention and an enhanced relation-side scheme: Algorithm development and validation', JMIR Medical Informatics, 8, pp. e21750, http://dx.doi.org/10.2196/21750
,2020, 'Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States.', medRxiv, http://dx.doi.org/10.1101/2020.10.25.20218875
,2020, 'mHealth for Integrated People-Centred Health Services in the Western Pacific: A Systematic Review', International Journal of Medical Informatics, 142, pp. 104259 - 104259, http://dx.doi.org/10.1016/j.ijmedinf.2020.104259
,2020, 'Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks', Medical Image Analysis, 65, http://dx.doi.org/10.1016/j.media.2020.101789
,2020, 'Adoption of enterprise architecture for healthcare in AeHIN member countries', BMJ Health and Care Informatics, 27, http://dx.doi.org/10.1136/bmjhci-2020-100136
,2020, 'Can we trust the prediction model? Demonstrating the importance of external validation by investigating the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets', medRxiv
,2020, 'Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US: a network cohort analysis', medRxiv, http://dx.doi.org/10.1101/2020.10.13.20211821
,2020, 'Cohort Selection for Clinical Trials Using Multiple Instance Learning', Journal of Biomedical Informatics, 107, pp. 103438 - 103438, http://dx.doi.org/10.1016/j.jbi.2020.103438
,2020, 'Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge', npj Digital Medicine
,2020, 'Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association', Yearbook of Medical Informatics
,2020, 'Heterogeneity and temporal variation in the management of COVID-19: a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America', medRxiv, http://dx.doi.org/10.1101/2020.09.15.20195545
,2020, 'Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network', medRxiv
,2019, 'Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis.', J Med Internet Res, 21, pp. e10450, http://dx.doi.org/10.2196/10450
,2019, 'Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges', Yearbook of medical informatics, 28, pp. 041 - 046, http://dx.doi.org/10.1055/s-0039-1677901
,2019, 'Comparison of the cohort selection performance of Australian Medicines Terminology to Anatomical Therapeutic Chemical mappings', Journal of the American Medical Informatics Association, 26, pp. 1237 - 1246, http://dx.doi.org/10.1093/jamia/ocz143
,2019, 'Statistical principle-based approach for recognizing and normalizing microRNAs described in scientific literature', Database, 2019, http://dx.doi.org/10.1093/database/baz030
,2019, 'Statistical supervised meta-ensemble algorithm for medical record linkage', Journal of biomedical informatics, 95, pp. 103220 - 103220, http://dx.doi.org/10.1016/j.jbi.2019.103220
,2018, 'Behavior Change for Youth Drivers: Design and Development of a Smartphone-Based App (BackPocketDriver).', JMIR Form Res, 2, pp. e25, http://dx.doi.org/10.2196/formative.9660
,2018, 'Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?', PloS one, 13, pp. e0204493 - e0204493, http://dx.doi.org/10.1371/journal.pone.0204493
,2018, 'Enhanced Functionalities for Annotating and Indexing Clinical Text with the NCBO Annotator+', Bioinformatics, 34, pp. 1962 - 1965, http://dx.doi.org/10.1093/bioinformatics/bty009
,2017, 'Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill.', JMIR Med Inform, 5, pp. e3, http://dx.doi.org/10.2196/medinform.6690
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