CANCER TYPE PREDICTION SYSTEM

A system for cancer type prediction includes a trained neural network (NN), a patient feature-set extractor (PFE), and an associative feature-set searcher (FSS). The trained NN receives a patient input vector from a patient record and generates cancer type predictions. The PFE extracts a known cancer feature set from patient input vector from a patient record with a known cancer type, and an unknown cancer feature set from a patient input vector from a patient record without a known cancer type, when passed through the trained NN. The FSS stores a known cancer feature set in a first portion of a column, and metadata in a second portion of a column, and finds K nearest neighbors of the unknown cancer feature set from among the stored known cancer feature sets.