mld3 Goto Github PK
Name: MLD3: Machine Learning for Data-Driven Decisions, University of Michigan
Type: Organization
Bio: Code repository for work by the MLD3 lab.
Location: Ann Arbor, MI
Name: MLD3: Machine Learning for Data-Driven Decisions, University of Michigan
Type: Organization
Bio: Code repository for work by the MLD3 lab.
Location: Ann Arbor, MI
Predicting Alzheimer's disease onset using blood pressure trajectories
HMMs to characterize AD. https://doi.org/10.1016/j.dadm.2018.06.007
Code for the paper "Cohort discovery and risk stratification for AD: an EHR-based approach" in Alzheimer's and Dementia: TRCI
Predicting Postoperative Opioid Use with Machine Learning and Insurance Claims in Opioid-NaΓ―ve Patients (Hur, Tang, ..., Waljee, Wiens). The American Journal of Surgery, 2021. https://doi.org/10.1016/j.amjsurg.2021.03.058
The source code for AMAISE: A Machine Learning Approach to Index-Free Sequence Enrichment and the accession codes for the data used to train and test AMAISE.
Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome (Zeiberg & Prahlad et al.), PLOS ONE, March 2019. https://doi.org/10.1371/journal.pone.0214465
Predicting brain age from MRI data and objectively measured physical activity. https://doi.org/10.1101/525386
Code Release for "Estimating Calibrated Individualized Survival Curves with Deep Learning" (Kamran & Wiens), AAAI 2021. https://www.aaai.org/AAAI21Papers/AAAI-8472.KamranF.pdf
Using Machine Learning and the Electronic Health Record to Predict Complicated Clostridium difficile Infection. https://doi.org/10.1093/ofid/ofz186
[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146
[KDD 2018] Learning Credible Models
[ICML 2024] From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
[MLHC 2020] Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts (Jabbour, Fouhey, Kazerooni, Sjoding, Wiens). https://arxiv.org/abs/2009.10132
Implementation of architecture for 2020 OhioT1D competition submission. Includes weights from pre-training runs with Tidepool data set. Baseline architecture is N-BEATS, modifications include RNN/shared output blocks, additional Losses. https://folk.idi.ntnu.no/kerstinb/kdh/KDH_ECAI_2020_Proceedings.pdf
Heart Sound Classification based on Temporal Alignment Techniques.
FlexIble Data-Driven pipeLinE β a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139
Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
Workshop files
Code for ICHE 2018: A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers. https://doi.org/10.1017/ice.2018.16
Code for "Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise" in CHIL 2023
Predicting Acute Graft-versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data from Electronic Health Records (Tang et al.), JCO Clinical Cancer Informatics 2020. https://doi.org/10.1200/CCI.19.00105
"Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study" (Kamran, Tang, et al.), BMJ 2022.
Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.