An Evaluation of Machine Learning Models coupled with Powerful Big Data Techniques in the Case of Pancreatic Cancer
SOURCE: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS); IEEE, Published: 20 February 2024 An Evaluation of Machine Learning Models
Read More
Interfacing with iHelp patients: The role of Healthentia
Real-World Data Collection and Patient Engagement All iHelp patients experience the mobile application of Healthentia as their gateway in iHelp. Healhtentia is
Read More
Studies for secondary data capture using Healthentia
The secondary data capture for iHelp, i.e., the collection of patients’ data in a non-clinical setting, is a fundamental step for all
Read More
iHelp partner introduction – TMU
Taipei Medical University Education, healthcare, and technology facilities Taipei Medical University (TMU) was founded in 1960, and has been a pioneer in
Read More
iHelp Partner introduction – Innovation Sprint
We will start our series of interviews with the individual partners of the iHelp Project. The main goal of this series is
Read More
Data collection and advice delivery in iHelp using Healthentia
The iHelp project aims at early identification and mitigation of the risks associated with cancer (with a particular focus on pancreatic cancer), based on the application of advanced Machine Learning techniques on
Read More