Search Results for author: Paul Ackermann

Found 3 papers, 1 papers with code

Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation

no code implementations8 Sep 2018 Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang

However, it is challenging to train an automatic method for predicting the ATR rehabilitation outcome from treatment data, due to a massive amount of missing entries in the data recorded from ATR patients, as well as complex nonlinear relations between measurements and outcomes.

Imputation

Causal Discovery in the Presence of Missing Data

1 code implementation11 Jul 2018 Ruibo Tu, Kun Zhang, Paul Ackermann, Bo Christer Bertilson, Clark Glymour, Hedvig Kjellström, Cheng Zhang

When these data entries are not missing completely at random, the (conditional) independence relations in the observed data may be different from those in the complete data generated by the underlying causal process.

Causal Discovery

Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation

no code implementations7 Dec 2016 An Qu, Cheng Zhang, Paul Ackermann, Hedvig Kjellström

Imputing incomplete medical tests and predicting patient outcomes are crucial for guiding the decision making for therapy, such as after an Achilles Tendon Rupture (ATR).

Collaborative Filtering Decision Making +3

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