Machine learning for clinical decision support in infectious diseases: a narrative review of current applications N Peiffer-Smadja, TM Rawson, R Ahmad, A Buchard, P Georgiou, ... Clinical Microbiology and Infection 26 (5), 584-595, 2020 | 130 | 2020 |
Identifying psychogenic seizures through comorbidities and medication history WT Kerr, EA Janio, CT Braesch, JM Le, JM Hori, AB Patel, NL Gallardo, ... Epilepsia 58 (11), 1852-1860, 2017 | 39 | 2017 |
An objective score to identify psychogenic seizures based on age of onset and history WT Kerr, EA Janio, CT Braesch, JM Le, JM Hori, AB Patel, NL Gallardo, ... Epilepsy & Behavior 80, 75-83, 2018 | 31 | 2018 |
Reliability of reported peri-ictal behavior to identify psychogenic nonepileptic seizures WT Kerr, AM Chau, EA Janio, CT Braesch, JM Le, JM Hori, AB Patel, ... Seizure 67, 45-51, 2019 | 16 | 2019 |
Treatment Impact on COVID-19 evolution in hemodialysis patients S Chawki, A Buchard, H Sakhi, K Dardim, K El Sakhawi, M Chawki, ... Kidney International, 2020 | 14 | 2020 |
Learning medical triage from clinicians using Deep Q-Learning A Buchard, B Bouvier, G Prando, R Beard, M Livieratos, D Busbridge, ... arXiV, 2020 | 4 | 2020 |
Media use, attention, mental health and academic performance among 8 to 12 year old children P Cardoso-Leite, A Buchard, I Tissieres, D Mussack, D Bavelier PloS one 16 (11), e0259163, 2021 | 3 | 2021 |
Long-term impact of COVID-19 among maintenance haemodialysis patients S Chawki, A Buchard, H Sakhi, K Dardim, K El Sakhawi, M Chawki, ... Clinical kidney journal 15 (2), 262-268, 2022 | 2 | 2022 |
Corrigendum to'machine learning for clinical decision support in infectious diseases: a narrative review of current applications' clinical microbiology and infection (2020) 584-595 N Peiffer-Smadja, TM Rawson, R Ahmad, A Buchard, P Georgiou, ... Clinical microbiology and infection: the official publication of the …, 2020 | 2 | 2020 |
Tuning semantic consistency of active medical diagnosis: a walk on the semantic simplex A Buchard, K Gourgoulias, A Navarro, M Zwiessele, S Johri Frontier of AI-Assisted Care (FAC) Scientific Symposium, 2019 | 2 | 2019 |
Universal marginalizer for amortised inference and embedding of generative models R Walecki, A Buchard, K Gourgoulias, C Hart, M Lomeli, AKW Navarro, ... arXiv preprint arXiv:1811.04727, 2018 | 2 | 2018 |
Impact à long terme du COVID-19 chez les patients dialysés H Sakhi, S Chawki, A Buchard, K Dardim, H Boulanger, C Mokhtar, ... Néphrologie & Thérapeutique 17 (5), 269-270, 2021 | 1 | 2021 |
Artificial Intelligence for Medical Diagnosis JG Richens, A Buchard Artificial Intelligence in Medicine, 1–21, 2021 | 1 | 2021 |
COVID-19 chez les patients dialysés, expérience multicentrique en Île-de-France S Chawki, H Sakhi, A Buchard, K Dardim, M Chawki, H Boulanger, ... Néphrologie & Thérapeutique 16 (5), 271, 2020 | 1 | 2020 |
A Computer Implemented Method and System for Running Inference Queries with a Generative Model R Walecki, A Buchard, K Gourgoulias, C Hart, M Lomeli, AKW Navarro, ... US Patent App. 16/594,957, 2019 | 1* | 2019 |
Oral Presentation: Should We Worry About Flare-Ups Following Vaccination in Systemic Lupus Patients? A Nationwide Case-Crossover Study Using the French Healthcare Database L Grimaldi, Y Hamon, P Attias, T Duchemin, A Buchard, L Abenhaim, ... DRUG SAFETY 44 (12), 1401-1401, 2021 | | 2021 |
YYYY Acute Relapse Following Vaccination in Multiple Sclerosis Patients: A Nationwide Epidemiologic Study using the French Healthcare Databases L Grimaldi, T Duchemin, P Attias, Y Hamon, A Buchard, L Abenhaim, ... DRUG SAFETY 44 (12), 1448-1448, 2021 | | 2021 |
Artificial Intelligence for Medical Decisions A Buchard, J Richens Artificial Intelligence in Medicine, 2021 | | 2021 |
System and Method for Medical Triage Through Deep Q-Learning A Buchard, B Bouvier, K Gourgoulias, G Prando, R Beard, S Johri | | 2020 |
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs R Walecki, K Gourgoulias, A Baker, C Hart, C Lucas, M Zwiessele, ... arXiv preprint arXiv:1910.07474, 2019 | | 2019 |