Olivier Grisel
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View article: International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium Open
View article: Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks Open
When dealing with right-censored data, where some outcomes are missing due to a limited observation period, survival analysis -- known as time-to-event analysis -- focuses on predicting the time until an event of interest occurs. Multiple …
View article: Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks Open
When data are right-censored, i.e. some outcomes are missing due to a limited period of observation, survival analysis can compute the "time to event". Multiple classes of outcomes lead to a classification variant: predicting the most like…
View article: False Discovery Proportion control for aggregated Knockoffs
False Discovery Proportion control for aggregated Knockoffs Open
Controlled variable selection is an important analytical step in various scientific fields, such as brain imaging or genomics. In these high-dimensional data settings, considering too many variables leads to poor models and high costs, hen…
View article: Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study Open
View article: Potential pitfalls in the use of real-world data for studying long COVID
Potential pitfalls in the use of real-world data for studying long COVID Open
View article: Risk of Death in Individuals Hospitalized for COVID-19 With and Without Psychiatric Disorders: An Observational Multicenter Study in France
Risk of Death in Individuals Hospitalized for COVID-19 With and Without Psychiatric Disorders: An Observational Multicenter Study in France Open
View article: External validation of prognostic scores for COVID-19: a multicenter cohort study of patients hospitalized in Greater Paris University Hospitals
External validation of prognostic scores for COVID-19: a multicenter cohort study of patients hospitalized in Greater Paris University Hospitals Open
View article: Evolving phenotypes of non-hospitalized patients that indicate long COVID
Evolving phenotypes of non-hospitalized patients that indicate long COVID Open
View article: International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries
International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries Open
This study of EHRs of children and youth hospitalized for COVID-19 in 6 countries demonstrated variability in hospitalization trends across countries and identified common complications and laboratory abnormalities in children and youth wi…
View article: scikit-learn/scikit-learn: scikit-learn 0.24.2
scikit-learn/scikit-learn: scikit-learn 0.24.2 Open
We're happy to announce the 0.24.2 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: Association of Antihypertensive Agents with the Risk of In-Hospital Death in Patients with Covid-19
Association of Antihypertensive Agents with the Risk of In-Hospital Death in Patients with Covid-19 Open
View article: scikit-learn/scikit-learn: scikit-learn 0.24.1
scikit-learn/scikit-learn: scikit-learn 0.24.1 Open
We're happy to announce the 0.24.1 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda
Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda Open
Welcome to the fourth edition of the Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda.This is the second time we are running the workshop virtually, due to the COVID-19 pandemic.The pandemic has had a profou…
View article: Infection à SARS-CoV-2 et biomédicaments : une étude multicentrique française de 7808 patients
Infection à SARS-CoV-2 et biomédicaments : une étude multicentrique française de 7808 patients Open
View article: Infection à SARS-CoV-2 et biomédicaments : étude multicentrique française de 7808 patients
Infection à SARS-CoV-2 et biomédicaments : étude multicentrique française de 7808 patients Open
View article: Letter: severe COVID‐19 infection and biologic therapies—a cohort study of 7 808 patients in France
Letter: severe COVID‐19 infection and biologic therapies—a cohort study of 7 808 patients in France Open
LINKED CONTENT This article is linked to Taxonera et al and Taxonera & Alba papers. To view these articles, visit https://doi.org/10.1111/apt.15804 and https://doi.org/10.1111/apt.16055
View article: International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium Open
View article: scikit-learn/scikit-learn: scikit-learn 0.23.2
scikit-learn/scikit-learn: scikit-learn 0.23.2 Open
We're happy to announce the 0.23.2 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: a cohort study of 4,642 in-patients in France
Hydroxychloroquine with or without azithromycin and in-hospital mortality or discharge in patients hospitalized for COVID-19 infection: a cohort study of 4,642 in-patients in France Open
Objective To assess the clinical effectiveness of oral hydroxychloroquine (HCQ) with or without azithromycin (AZI) in preventing death or leading to hospital discharge. Design Retrospective cohort study. Setting An analysis of data from el…
View article: sphinx-gallery/sphinx-gallery: Release v0.7.0
sphinx-gallery/sphinx-gallery: Release v0.7.0 Open
Full Changelog Implemented enhancements: ENH: Use Sphinx errors #690 (larsoner) ENH: Add support for FuncAnimation #687 (larsoner) Sphinx directive to insert mini-galleries #685 (ayshih) Provide a Sphinx directive to inser…
View article: scikit-learn/scikit-learn: scikit-learn 0.23.1
scikit-learn/scikit-learn: scikit-learn 0.23.1 Open
We're happy to announce the 0.23.1 release which fixes a few issues affecting many users, namely: K-Means should be faster for small sample sizes, and the representation of third-party estimators was fixed. You can check this version out u…
View article: International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium
International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium Open
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96…
View article: scikit-learn/scikit-learn: Scikit-learn 0.22.1
scikit-learn/scikit-learn: Scikit-learn 0.22.1 Open
We're happy to announce the 0.22.1 bugfix release. Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-1. This version supports Python versions 3.5 to 3.8.
View article: scikit-learn/scikit-learn: Scikit-learn 0.21.3
scikit-learn/scikit-learn: Scikit-learn 0.21.3 Open
A bug fix and documentation release, fixing regressions and other issues released in version 0.21. See change log at https://scikit-learn.org/0.21/whats_new/v0.21.html
View article: Brain‐based ranking of cognitive domains to predict schizophrenia
Brain‐based ranking of cognitive domains to predict schizophrenia Open
Schizophrenia is a devastating brain disorder that disturbs sensory perception, motor action, and abstract thought. Its clinical phenotype implies dysfunction of various mental domains, which has motivated a series of theories regarding th…
View article: scikit-learn/scikit-learn 0.21.2
scikit-learn/scikit-learn 0.21.2 Open
scikit-learn: machine learning in Python
View article: Brain-based ranking of cognitive domains to predict schizophrenia
Brain-based ranking of cognitive domains to predict schizophrenia Open
Schizophrenia is a devastating brain disorder that disturbs sensory perception, motor action, and abstract thought. Its clinical phenotype implies dysfunction of various mental domains, which has motivated a series of theories regarding th…
View article: Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data.
Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. Open
The use of complex models --with many parameters-- is challenging with high-dimensional small-sample problems: indeed, they face rapid overfitting. Such situations are common when data collection is expensive, as in neuroscience, biology, …
View article: Prediction and inference diverge in biomedicine: Simulations and real-world data
Prediction and inference diverge in biomedicine: Simulations and real-world data Open
In the 20 th century many advances in biological knowledge and evidence-based medicine were supported by p-values and accompanying methods. In the beginning 21 st century, ambitions towards precision medicine put a premium on detailed pred…