A PHP Error was encountered

Severity: Warning

Message: Declaration of Model_Speaker::prepare_results($items) should be compatible with Base_Model::prepare_results($items, $tbl = NULL)

Filename: models/model_speaker.php

Line Number: 428

A PHP Error was encountered

Severity: Warning

Message: Declaration of Model_Event::prepare_results($items) should be compatible with Base_Model::prepare_results($items, $tbl = NULL)

Filename: models/model_event.php

Line Number: 290

Page 390 – Stanford Medicine X
George Chronis
Foresite Healthcare

About Me

Dr. Chronis received his PhD in Robotics and Artificial Intelligence from the University of Missouri. His work and publications are in computational intelligence and include autonomous mobile robot navigation, spatial relations, linguistic spatial cognition, programming by demonstration, fuzzy logic and evolutionary computation.

Prior to Foresite Healthcare Dr. Chronis founded CyberSense, a software solutions and development company undertaking projects with more than 100 educational organizations worldwide and with large corporations such as Monsanto, University of Arizona and University of California. Projects developed and managed span a wide variety of demanding, large scale, data and computation intensive applications such as intelligent prediction and expert system advice on industry trends based on meta-data such as customs’ import/export records, electronic manuscript management and automated peer-review for millions of users, various crop and seed optimization from planting to sales using GPS guided image processing, data mining and neural network computation and data mining algorithms for agrobiotechnology economics based on meta-data processing from the US Patent Office.

Dr. Chronis develops and commercializes technology to improve quality of life by generating early illness alerts. He was instrumental in the development of Foresite Patientcare®, Foresite Eldercare® and Foresite Health at Home®.

At Medicine X 2015

Saturday, September 26 12:25 pm (LK 120)
Foresites patientcare reduces patient falls in hospitals using machine learning methods
Background: Patient falls are major problems in hospitals both for patients and the hospital.  Falls dramatically reduce patient health and safety and dramatically increase the cost of healthcare. ... Read more
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Start typing and press Enter to search