There is a need for more effective and efficient heightened need prediction. In one example, a method comprises, during an online prediction phase: receiving incoming monitoring data associated with the user profile; performing anomaly reduction on the incoming monitoring data to generate anomaly-reduced incoming monitoring data; generating an incoming monitoring window based on the anomaly-reduced incoming monitoring data; processing the incoming monitoring window using a trained heightened need prediction machine learning model to determine a heightened need prediction for the incoming monitoring window; and in response to determining that the heightened need prediction is positive, performing one or more responsive actions by communicating with one or more client devices associated with the user profile.
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