Smart Telemedicine Decision Support System For Multisource Health Data With Neural Networks And AI Driven Clinical Insights For Next Gen Healthcare Analytics

Telemedicine DSS with Neural Networks for Health Data ✔️ Secure multisource data handling with ANN-based analytics in telemedicine

Author: Economou, George-Peter K. presents a decision support system that uses neural networks to process multisource health data for telemedicine workflows. This 2nd edition targets clinicians and IT pros, detailing ANN basics, medical DSS design, and a telemedicine demo with software and type libraries. Distributed by AIDC in 2004.

✅ Author: Economou, George-Peter K.
✅ Edition: 2nd
✅ Pages: 149
✅ Topic: Telemedicine decision support system using neural networks
✅ Language: English
✅ Distributor: AIDC
✅ Release date: 2004

💡 What is a telemedicine decision support system with neural networks used for?

A telemedicine decision support system with neural networks helps clinicians interpret multisource health data to assist diagnoses and treatment planning in remote care settings.

Key benefits:

- Improved multisource data integration across patient records, labs, and wearables

- AI-driven clinical insights to support telemedicine decision making

- Real-time neural network analytics for diagnosis and treatment planning

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