ICR - Identifying Age-Related Conditions

Goal of the Competition: The goal of this competition is to predict if a person has any of three medical conditions. You are being asked to predict if the person has one or more of any of the three medical conditions (Class 1), or none of the three medical conditions (Class 0). You will create a model trained on measurements of health characteristics.

To determine if someone has these medical conditions requires a long and intrusive process to collect information from patients. With predictive models, we can shorten this process and keep patient details private by collecting key characteristics relative to the conditions, then encoding these characteristics.

Your work will help researchers discover the relationship between measurements of certain characteristics and potential patient conditions.

Context: They say age is just a number but a whole host of health issues come with aging. From heart disease and dementia to hearing loss and arthritis, aging is a risk factor for numerous diseases and complications. The growing field of bioinformatics includes research into interventions that can help slow and reverse biological aging and prevent major age-related ailments. Data science could have a role to play in developing new methods to solve problems with diverse data, even if the number of samples is small.

Currently, models like XGBoost and random forest are used to predict medical conditions yet the models' performance is not good enough. Dealing with critical problems where lives are on the line, models need to make correct predictions reliably and consistently between different cases.

Founded in 2015, competition host InVitro Cell Research, LLC (ICR) is a privately funded company focused on regenerative and preventive personalized medicine. Their offices and labs in the greater New York City area offer state-of-the-art research space. InVitro Cell Research's Scientists are what set them apart, helping guide and defining their mission of researching how to repair aging people fast.

In this competition, you’ll work with measurements of health characteristic data to solve critical problems in bioinformatics. Based on minimal training, you’ll create a model to predict if a person has any of three medical conditions, with an aim to improve on existing methods.

You could help advance the growing field of bioinformatics and explore new methods to solve complex problems with diverse data.

Acknowledgements

KAGGLE

Appendix

This is a Kaggle competition.

Author

PRABHAKAR V

Screenshots from Kaggle

Used By

This project is used by the following company:

InVitro Cell Research