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Nophar Geifman
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2020 – today
- 2023
- [j7]Nophar Geifman, Jo Armes, Anthony D. Whetton:
Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining. Frontiers Digit. Health 5 (2023) - 2020
- [j6]Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi:
Mining post-surgical care processes in breast cancer patients. Artif. Intell. Medicine 105: 101855 (2020) - [j5]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker:
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. Artif. Intell. Medicine 108: 101930 (2020) - [j4]Kathryn A. McGurk, Arianna Dagliati, Davide Chiasserini, Dave Lee, Darren Plant, Ivona Baricevic-Jones, Janet Kelsall, Rachael Eineman, Rachel Reed, Bethany Geary, Richard D. Unwin, Anna Nicolaou, Bernard D. Keavney, Anne Barton, Anthony D. Whetton, Nophar Geifman:
The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination. Bioinform. 36(7): 2217-2223 (2020) - [c6]Charlotte Watson, Nophar Geifman:
Do traditional BMI categories capture future obesity? A comparison with trajectories of BMI and incidence of cancer. AMIA 2020 - [c5]Alexia Sampri, Nophar Geifman, Helen Le Sueur, Patrick Doherty, Philip A. Couch, Ian Bruce, Niels Peek:
Probabilistic Approaches to Overcome Content Heterogeneity in Data Integration: A Study Case in Systematic Lupus Erythematosus. MIE 2020: 387-391
2010 – 2019
- 2019
- [c4]Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker:
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. AIME 2019: 399-409 - [c3]Beatrice Amico, Arianna Dagliati, Darren Plant, Anne Barton, Niels Peek, Nophar Geifman:
A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis. MedInfo 2019: 911-915 - 2018
- [c2]Nophar Geifman, Hannah Lennon, Niels Peek:
Patient Stratification Using Longitudinal Data - Application of Latent Class Mixed Models. MIE 2018: 176-180 - 2016
- [j3]Nophar Geifman, Sanchita Bhattacharya, Atul J. Butte:
Immune modulators in disease: integrating knowledge from the biomedical literature and gene expression. J. Am. Medical Informatics Assoc. 23(3): 617-626 (2016) - [c1]Nophar Geifman, Atul J. Butte:
Do Cancer Clinical Trial Populations Truly Represent Cancer Patients? A Comparison of Open Clinical Trials to the Cancer Genome Atlas. PSB 2016: 309-320 - 2011
- [j2]Nophar Geifman, Eitan Rubin:
Towards an Age-Phenome Knowledge-base. BMC Bioinform. 12: 229 (2011) - 2010
- [j1]Nophar Geifman, Alon Monsonego, Eitan Rubin:
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems. BMC Bioinform. 11: 458 (2010)
Coauthor Index
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