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Predicting Patient Outcomes

2 papers with code ยท Medical
Subtask of Patient Outcomes

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Latest papers without code

Attentive State-Space Modeling of Disease Progression

NeurIPS 2019

Models of disease progression are instrumental for predicting patient outcomes and understanding disease dynamics.

PREDICTING PATIENT OUTCOMES

Dectecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs

14 Nov 2019

Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers.

PREDICTING PATIENT OUTCOMES

Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

5 Jul 2019

We perform quantitative and qualitative evaluations on a separate test set of 1283 images (also from ADNI) demonstrating the ability of DaniNet to produce accurate and convincing synthetic images that emulate disease progression.

PREDICTING PATIENT OUTCOMES

Learning Representations of Missing Data for Predicting Patient Outcomes

12 Nov 2018

Extracting actionable insight from Electronic Health Records (EHRs) poses several challenges for traditional machine learning approaches.

PREDICTING PATIENT OUTCOMES REPRESENTATION LEARNING TIME SERIES

Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation

7 Dec 2016

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).

DECISION MAKING IMPUTATION PREDICTING PATIENT OUTCOMES RECOMMENDATION SYSTEMS