health posts

AI for health: the impossible necessity of unbiased data

Is unbiased data important to build health AI? Yes!

Can there be unbiased data? No!

Building health on biased data discriminates

The notion of bias depends on the intended use.


In medicine, we have seen the importance of tuning devices and decisions for the target population. The problem is not …

2022, a new scientific adventure: machine learning for health and social sciences

A retrospective on last year (2022): I embarked on a new scientific adventure, assembling a team focused on developing machine learning for health and social science. The team has existed for almost a year, and the vision is nice shaping up. Let me share with you illustrations of where we …

2021: my scientific year in review

Highlights

  • Variance in machine-learning benchmarks
  • Imputation to predict with missing values

Variance in machine-learning benchmarks

Many sources of uncontroled variance in observed performance of machine-learning pipelines

How reliable is a empirical benchmark of machine pipelines? Solid benchmarks are harder than they seem.

Sources of variances in machine-learning benchmarks. [Bouthillier et …

2020: my scientific year in review

The year 2020 has undoubtedly been interesting: the covid19 pandemic stroke while I was on a work sabbatical in Montréal, at the MNI and the MILA, and it pushed further my interest in machine learning for health-care. My highlights this year revolve around basic and applied data-science for health.

Highlights …