Patient Ventilator Asynchrony Dataset Development
Budget: ₹1,500 – ₹12,500 INR
I need a comprehensive dataset to train a CNN algorithm for detecting patient-ventilator asynchronies (PVA). The data should be synthetically generated using Python.
Dataset Requirements:
- Types of Asynchronies: Trigger asynchrony, Flow asynchrony, Cycle asynchrony
- Necessary Details: Occurrence frequency, Patient demographic info
Ideal Skills and Experience:
- Proficiency in Python
- Experience in data synthesis and manipulation
- Familiarity with CNNs and dataset requirements for machine learning
- Background in medical data or ventilator mechanics is a plus
Please ensure the dataset is large and varied enough for effective training.
Dataset Requirements:
- Types of Asynchronies: Trigger asynchrony, Flow asynchrony, Cycle asynchrony
- Necessary Details: Occurrence frequency, Patient demographic info
Ideal Skills and Experience:
- Proficiency in Python
- Experience in data synthesis and manipulation
- Familiarity with CNNs and dataset requirements for machine learning
- Background in medical data or ventilator mechanics is a plus
Please ensure the dataset is large and varied enough for effective training.