Personalized_Cancer_Diagnosis

DESCRIPTION:

Source: https://www.kaggle.com/c/msk-redefining-cancer-treatment/discussion/35336#198462

Problem statement :Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

REAL WORLD OBJECTIVE AND CONSTRAINTS:

1.No low-latency requirement.

2.Interpretability is important.

3.Errors can be very costly.

4.Probability of a data-point belonging to each class is needed.

SOME USEFUL LINKS:

1. https://www.forbes.com/sites/matthewherper/2017/06/03/a-new-cancer-drug-helped-almost-everyone-who-took-it-almost-heres-what-it-teaches-us/#2a44ee2f6b25
2. https://www.youtube.com/watch?v=UwbuW7oK8rk
3. https://www.youtube.com/watch?v=qxXRKVompI8

PERFORMANCE METRIC:

Source: https://www.kaggle.com/c/msk-redefining-cancer-treatment#evaluation

Metric(s):

1.Multi class log-loss

2.Confusion matrix