Several key technologies are integral to automated data analysis in cancer research:
- Machine Learning: Used to develop models that can predict outcomes based on input data. - Natural Language Processing (NLP): Helps in extracting valuable information from unstructured data such as clinical notes. - Bioinformatics Tools: Specialized software for analyzing biological data, including genomic sequences. - Big Data Platforms: Systems like Hadoop and Spark that can handle and process vast amounts of data efficiently. - Cloud Computing: Provides the computational power and storage capacity necessary for large-scale data analysis.
