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Saurabh Johri
Saurabh Johri
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Verified email at babylonhealth.com
Title
Cited by
Cited by
Year
Improving the accuracy of medical diagnosis with causal machine learning
JG Richens, CM Lee, S Johri
Nature communications 11 (1), 3923, 2020
4102020
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
1122018
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
682020
SEAN: SNP prediction and display program utilizing EST sequence clusters
D Huntley, A Baldo, S Johri, M Sergot
Bioinformatics 22 (4), 495-496, 2006
462006
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
252017
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
242020
Counterfactual diagnosis
JG Richens, CM Lee, S Johri
arXiv preprint arXiv:1910.06772, 2019
102019
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
72020
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
72018
Author correction: improving the accuracy of medical diagnosis with causal machine learning
JG Richens, CM Lee, S Johri
Nature Communications 12 (1), 2108, 2021
62021
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
62020
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, ...
62020
Leveraging directed causal discovery to detect latent common causes
CM Lee, C Hart, JG Richens, S Johri
arXiv preprint arXiv:1910.10174, 2019
62019
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
61806
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
52022
Computer implemented determination method and system
LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ...
US Patent 11,348,022, 2022
52022
Computer implemented determination method and system
LH Douglas, P Myshkov, R Walecki, IR Zarov, K Gourgoulias, C Lucas, ...
US Patent 11,328,215, 2022
42022
Generating a probabilistic graphical model with causal information
CM Lee, CR Hart, JG Richens, S Johri
US Patent 11,017,572, 2021
22021
Counterfactual measure for medical diagnosis
JG Richens, CM Lee, S Johri
US Patent 11,017,905, 2021
22021
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