mhsleth Goto Github PK
Name: Mobile Health Systems Lab
Type: Organization
Location: Zurich
Mobile Health Systems Lab's Projects
actimetercasing
3D casing models
actimeterelectronics
PCB schematics/layout
actimetersleepanalysis
Sleep analysis using actimetry data
ame
🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
heart_rhythm_attentive_rnn
❤️📱 Heart rhythm classification from mobile event recorder data using attentive neural networks.
perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
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