Data Intelligence for Health Lab

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14 repositories

RL4CAD
Public
RL4CAD: Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
emr machine-learning reinforcement-learning q-learning health pytorch dqn rl deep-q-network coronary-artery
Python
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Apache License 2.0
•1•1•0•0•Updated Sep 24, 2024Sep 24, 2024
ICD10-Unsupervised-Feature-Selection
Public
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning
machine-learning feature-selection atc icd-10 unsupervised-feature-selection feature-selection-and-engineering international-classification-of-diseases anatomical-therapeutic-chamical
Python
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MIT License
•1•4•0•0•Updated Jul 27, 2024Jul 27, 2024
ai4ph-data-challenge-2024
Public
This is the main site for the 2024 AI4PH Summer Institute Data Challenge.
1•0•0•0•Updated Jul 19, 2024Jul 19, 2024
Evaluation_metrics_considering_case_difficulty
Public
Jupyter Notebook
•0•0•0•0•Updated Mar 8, 2024Mar 8, 2024
Measuring_Case_Difficulty
Public
Jupyter Notebook
•0•1•0•0•Updated Nov 9, 2023Nov 9, 2023
ICU_outcome_prediction_Transfer_Learning
Public
Using domain adaptation and inductive transfer learning to improve patient outcome prediction in the intensive care unit
Python
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MIT License
•1•0•0•0•Updated Jun 13, 2023Jun 13, 2023
delirium_prediction
Public
Python
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MIT License
•1•0•0•0•Updated Jun 8, 2022Jun 8, 2022
BloodLaboratoryTestRedundancy
Public
Python
•0•3•0•0•Updated Mar 24, 2022Mar 24, 2022
python-starter
Public
A simple starter project written in python!
0•0•0•0•Updated Mar 3, 2022Mar 3, 2022
Lpheada-Labelled-Public-HEAlth-DAtaset
Public
LPHEADA is a multicountry and fully Labelled digital Public HEAlth DAtaset of tweets originated in Australia, Canada, UK, or US between November 28th, 2018 to June 19th, 2020. This dataset contains 366,405 crowd-generated labels (three labels per tweet) for 122,135 PASS-related tweets, labelled by 708 unique annotators on Amazon Mechanical Turk.
machine-learning social-media dataset public-health sleep physical-activity sedentary-life
Jupyter Notebook
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MIT License
•1•8•0•0•Updated Feb 21, 2022Feb 21, 2022
CrowdSourcing-for-Digital-Public-Health-Surveillance
Public
To explore and evaluate the application of crowdsourcing, in general, and AMT, in specific, for developing digital public health surveillance systems, we collected 296,166 crowd-generated labels for 98,722 tweets, labelled by 610 AMT workers, to develop machine learning (ML) models for detecting behaviours related to physical activity, sedentary…
machine-learning crowdsourcing amazon-mechanical-turk public-health-intelligence
Jupyter Notebook
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MIT License
•0•0•0•0•Updated Feb 14, 2022Feb 14, 2022
mHealth_Emotional_State-Transition_Detection_Public
Public
Jupyter Notebook
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MIT License
•1•2•0•0•Updated Jan 17, 2022Jan 17, 2022
NLP--modes_of_communication--families-healthcare_professionals
Public
Natural language processing to measure communication between healthcare professionals and family members of critically ill patients
Python
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MIT License
•0•0•0•0•Updated Jan 17, 2022Jan 17, 2022
Discharge-Prediction_eICU-CRD
Public
This repository presents the implementation of different machine learning architectures to determine the efficacy of the Acute Physiology andChronic Health Evaluation (APACHE) IV score as well as the patient characteristics that comprise it to predict the discharge destination for critically ill patients within 24 hours of ICU admission.
Jupyter Notebook
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MIT License
•2•2•1•0•Updated Jan 17, 2022Jan 17, 2022