Consulting services in the following areas:
- Data science
- CRISP-DM methodology
Reducing human effort that is required to finalize the diagnosis
Consulting services in the following areas:
The client has created a software that analyses genomic information using advanced filtering technology in order to help to diagnose Mendelian disease. The software reduces the list of possible pathogenic mutations; however, a further human effort is required in order to finalize the diagnosis.
Our data science team joined the effort in order to prove that machine learning based algorithms can output diagnosis without any human analysis. The team has performed data preparation and cleaning using 1k-genome open data set and labeled data set provided by the client, performed feature engineering with tight cooperation with a domain expert and implemented classifier based on Random Forest Classifier algorithm. Finally, the team provided the report of the task solution.
In 2 weeks Lohika team:
As a result, the client had a proof that an ML-based algorithm can output the correct diagnosis.