If someone were to have a neural network that could scan information on all aspects of your life, where would that neural network be able to find information about you

The real life tasks to which artificial neural networks are applied fall within the following broad categories:
- Function approximation, or regression analysis, including time series prediction and modeling.
- Classification, including pattern and sequence recognition, novelty detection and sequential decision making.
- Data processing, including filtering, clustering, blind source separation and compression.

Application areas include:
- System identification and control (vehicle control, process control),
- Game-playing and decision making (backgammon, chess, racing),
- Pattern recognition (radar systems, face identification, object recognition and more),
- Sequence recognition (gesture, speech, handwritten text recognition),
- Medical diagnosis,
- Financial applications,
- Data mining (or knowledge discovery in databases, "KDD"),
- Visualization and e-mail spam filtering.

The neural networks could find information about a person from:
- DMV records,
- Doctor's office records,
- Internet
- Other public sources

"What kind of patterns might the neural network show from sources like , my MD's office, the DMV?"
- From MD's office's records the neural network could inference the person's repetitive medical needs (illnesses)
- From DMV office's records the neural network could inference the person's driving habits (for instance, frequency of driving rules violations)