Methods and systems for selecting and presenting content based on context sensitive user preferences
US-9213755-B2 · Dec 15, 2015 · US
US2017329904A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017329904-A1 |
| Application number | US-201615151404-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 10, 2016 |
| Priority date | Nov 23, 2011 |
| Publication date | Nov 16, 2017 |
| Grant date | — |
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Databases and data processing systems for use with a network-based personal genetics services platform may include member information pertaining to a plurality of members of the network-based personal genetics services platform. The member information may include genetic information, family history information, environmental information, and phenotype information of the plurality of members. A data processing system may determine, based at least in part on the member information, a model for predicting a phenotype from genetic information, family history information, and environmental information, wherein determining the model includes training the model using the member information pertaining to a set of the plurality of members. The data processing system may also receive a request from a questing member to predict a phenotype of interest, and apply an individual's genetic information, family history information, and environmental information to the model to obtain a prediction associated with the phenotype of interest for the requesting member.
Opening claim text (preview).
1 - 2 . (Canceled) 3 . An Internet-based computer system comprising: a plurality of member computers configured to: receive, from a plurality of members of a personal genetics service, member input including member family history information, member environmental information, and member phenotype information; and send the member family history information, the member environmental information, and the member phenotype information over the Internet; and one or more server computers comprising: a network interface device, one or more processors, and one or more mass storage devices, wherein the one or more mass storage devices having stored thereon one or more databases comprising member genetic information collected from the plurality of members, as well as the member family history information, the member environmental information, and the member phenotype information sent over the Internet; and the one or more processors are configured to: (a) generate a phenotype prediction model by: retrieving, from the one or more databases, the member genetic information, the member family history information, the member environmental information, and the member phenotype information of the plurality of members; and generating, using the retrieved information of the plurality of members, one or more models, wherein each of the one or more models is configured to receive as inputs genetic information, family history information, and environmental information of an individual and provide as an output a prediction of the individual having or developing a phenotype; and (b) apply the phenotype prediction model to a requesting member by: receiving, through the network interface, a request from the requesting member to make a prediction about a phenotype of interest of the requesting member; retrieving, from the one or more databases, member genetic information, member family history information, and member environmental information about the requesting member; inputting the retrieved information about the requesting member to one of the one or more models; and outputting a prediction of the phenotype of interest of the requesting member using the one of the one or more models.
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