timeseriesflattener 0.17.0

A package for converting time series data from e.g. electronic health records into wide format data.

Time-series Flattener

Roadmap

Roadmap is tracked on our kanban board.

🔧 Installation

To get started using timeseriesflattener simply install it using pip by running the following line in your terminal:

pip install timeseriesflattener

📖 Documentation

Documentation
🎛 API References	The detailed reference for timeseriesflattener's API. Including function documentation
🙋 FAQ	Frequently asked question

💬 Where to ask questions

Type
🚨 Bug Reports	GitHub Issue Tracker
🎁 Feature Requests & Ideas	GitHub Issue Tracker
👩‍💻 Usage Questions	GitHub Discussions
🗯 General Discussion	GitHub Discussions

🎓 Projects

PSYCOP projects which use timeseriesflattener. Note that some of these projects have yet to be published and are thus private.

Project	Publications
Type 2 Diabetes		Prediction of type 2 diabetes among patients with visits to psychiatric hospital departments
Cancer		Prediction of Cancer among patients with visits to psychiatric hospital departments
COPD		Prediction of Chronic obstructive pulmonary disease (COPD) among patients with visits to psychiatric hospital departments
Forced admissions		Prediction of forced admissions of patients to the psychiatric hospital departments. Encompasses two seperate projects: 1. Prediciting at time of discharge for inpatient admissions. 2. Predicting day before outpatient admissions.
Coersion		Prediction of coercion among patients admittied to the hospital psychiatric department. Encompasses predicting mechanical restraint, sedative medication and manual restraint 48 hours before coercion occurs.