DISEASE PREDICTION AND PREVENTION USING CROWDSOURCED REPORTS OF ENVIRONMENTAL CONDITIONS

Patent №

US 10,318,875

Granted

2019-06-11

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14961863

Embodiments of the invention provide techniques which utilize crowdsourced reports of environmental conditions to predict and/or prevent disease outbreaks. In one aspect, a method comprises receiving one or more crowdsourced reports about one or more environmental conditions; inferring one or more input parameters for at least one disease outbreak model based at least in part on the one or more crowdsourced reports; applying the at least one disease outbreak model to at least the one or more inferred parameters to predict one or more characteristics of at least one potential disease outbreak associated with the reported one or more environmental conditions; and, based at least in part on the predicted one or more characteristics, implementing one or more corrective actions to mitigate the at least one potential disease outbreak.

AI classification

Planning1.00
Machine learning1.00
Knowledge representation0.93
AI hardware0.91
Vision0.57
Evolutionary computation0.36
Natural language0.35
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 372290275

Assignors

AVEGLIANO, PRISCILLA BARREIRA, CARDONHA, CARLOS HENRIQUE, NOGIMA, JULIO

On an employer assignment, the assignors are typically the inventors.

From the same owner

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