Improving the accuracy of medical diagnosis with causal machine learning JG Richens, CM Lee, S Johri Nature communications 11 (1), 3923, 2020 | 411 | 2020 |
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis S Razzaki, A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, ... arXiv preprint arXiv:1806.10698, 2018 | 112 | 2018 |
A comparison of artificial intelligence and human doctors for the purpose of triage and diagnosis A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, D Sangar, M Butt, ... Frontiers in artificial intelligence 3, 543405, 2020 | 69 | 2020 |
SEAN: SNP prediction and display program utilizing EST sequence clusters D Huntley, A Baldo, S Johri, M Sergot Bioinformatics 22 (4), 495-496, 2006 | 46 | 2006 |
A universal marginalizer for amortized inference in generative models L Douglas, I Zarov, K Gourgoulias, C Lucas, C Hart, A Baker, M Sahani, ... arXiv preprint arXiv:1711.00695, 2017 | 25 | 2017 |
Multiverse: causal reasoning using importance sampling in probabilistic programming Y Perov, L Graham, K Gourgoulias, J Richens, C Lee, A Baker, S Johri Symposium on advances in approximate bayesian inference, 1-36, 2020 | 24 | 2020 |
Counterfactual diagnosis JG Richens, CM Lee, S Johri arXiv preprint arXiv:1910.06772, 2019 | 10 | 2019 |
Applying artificial intelligence methods for the estimation of disease incidence: The utility of language models Y Zhang, R Walecki, JR Winter, FJS Bragman, S Lourenco, C Hart, ... Frontiers in Digital Health 2, 569261, 2020 | 7 | 2020 |
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis. arXiv S Razzaki, A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, ... arXiv preprint arXiv:1806.10698, 2018 | 7 | 2018 |
Author correction: improving the accuracy of medical diagnosis with causal machine learning JG Richens, CM Lee, S Johri Nature Communications 12 (1), 2108, 2021 | 6 | 2021 |
Learning medical triage from clinicians using deep q-learning A Buchard, B Bouvier, G Prando, R Beard, M Livieratos, D Busbridge, ... arXiv preprint arXiv:2003.12828, 2020 | 6 | 2020 |
A comparison of artificial intelligence and human doctors for the purpose of triage and diagnosis. Front Artif Intell A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, D Sangar, M Butt, ... | 6 | 2020 |
Leveraging directed causal discovery to detect latent common causes CM Lee, C Hart, JG Richens, S Johri arXiv preprint arXiv:1910.10174, 2019 | 6 | 2019 |
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis. arXiv 2018 S Razzaki, A Baker, Y Perov, K Middleton, J Baxter, D Mullarkey, ... arXiv preprint arXiv:1806.10698, 1806 | 6 | 1806 |
Improving the accuracy of medical diagnosis with causal machine learning. Nat Commun. 2020 JG Richens, CM Lee, S Johri | 6 | |
Leveraging directed causal discovery to detect latent common causes in cause-effect pairs CM Gilligan-Lee, C Hart, J Richens, S Johri IEEE Transactions on Neural Networks and Learning Systems, 2022 | 5 | 2022 |
Computer implemented determination method and system LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ... US Patent 11,348,022, 2022 | 5 | 2022 |
Computer implemented determination method and system LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ... US Patent 11,328,215, 2022 | 4 | 2022 |
Generating a probabilistic graphical model with causal information CM Lee, CR Hart, JG Richens, S Johri US Patent 11,017,572, 2021 | 2 | 2021 |
Counterfactual measure for medical diagnosis JG Richens, CM Lee, S Johri US Patent 11,017,905, 2021 | 2 | 2021 |