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Project 12: Predicting local-regional recurrence patterns using AI

Projects Project 12: Predicting local-regional recurrence patterns Project conception phaseThe project has already started. 1. Study number 1: Using nation-wide Danish Colorectal Cancer Group data, we examined the local-regional recurrence. The study is submitted to publication.2. Review the literature about …...

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Project 11: Predicting anastomotic leak using pre-operative abdominal scan

Projects Project 11: Predicting anastomotic leak using pre-operative abdominal scan Project conception phaseThe plan is:1. Build the study team who can initiate the study of 3-4 dedicated members.2. Review the literature about the subject. The review will be published and …...

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Project 10: Deciphering the chronic abdominal pain with no detectable pathology using pattern recognition algorithms (big data mining)

Projects Project 10: Deciphering the chronic abdominal pain with no detectable pathology using pattern recognition algorithms (big data mining) Project conception phaseThe plan is:1. Build the study team who can initiate the study of 3-4 dedicated members.2. Review the literature …...

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Project 9.0: Patterns of contact with primary and secondary health care systems to predict disease activity in patients with IBD

Projects Project 9.0: Patterns of contact with primary and secondary health care systems to predict disease activity in patients with IBD Project conception phaseThe plan is:1. Build the study team who can initiate the study of 3-4 dedicated members.2. Review …...

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Project 8.0: Improving outcome measurements of pre-operative optimization bundles

Projects Project 8.0: Improving outcome measurements of pre-operative optimization bundles Project conception phasePre-operative optimization is gaining momentum and more focus but how to measure the otcome of pre-operative optimization bundles? not all the patients respond in the same way to …...

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Project 7.0: Using AI to improve early discharge of hospitalized patients

Projects Project 7: Using AI to improve early discharge of hospitalized patients Project conception phaseThe plan is:1. Build the study team who can initiate the study of 3-4 dedicated members.2. Review the literature about the subject. The review will be …...

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Protocol of project 3.0: De-identification of health care data

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Project 3: De-identification of health care data

Background and Objectives:

Over the past two decades an increasing amount of medical health data (MHD) has been collected for utilization in secondary purposes for instance??. MHD contains information such as patients’

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Project 1.0: Biological agents and post-operative outcome in IBD

Project 1.0 Biological agents and post-operative outcome in IBD

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Project 2.0: Patient-reported outcome in colorectal surgery

Projects Project 2: Patient-reported outcome in colorectal surgery This project is based on three sub-projects aimed at constructing simple, applicable PROMs in colorectal surgery:the first step is a review about the current PROMs in colorectal surgeryThe study, submitted for publication, …...

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Project 3.0: De-identification of health care data

Latest News Project 3: De-identification of health care data Download the first draft of the study protocol here... This content is for Senior and consultants, Juniors, part-time employed & seniors from LMIC , and Student and juniors from low income …...

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