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Todd M Albro

from Eagle, ID
Age ~60
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Also known as:
Todd Albo
Related to:
Michael Albo, 52Shannon Albo, 40Travis Albo, 46Margaret Albo, 71
Connected to:
Arissa A Albro, 53Bridgit R Albro, 54Dara Albro, 55Dean A Albro, 62Duane E Albro, 58Jacqueline M Albro, 76Krystin J Albro, 39Laurie E Albro, 72Lee W Albro, 76Patricia A Albro, 76

Todd Albro Phones & Addresses

  • Eagle, ID
  • Black Diamond, WA
  • 6402 Riverside Dr, Vancouver, WA 98661 (360) 314-2940 (360) 737-8988
  • Tacoma, WA
  • Concord, CA
  • Portland, OR
  • American Falls, ID
  • Redmond, WA
  • Mountlake Terrace, WA
  • 6402 SE Riverside Dr, Vancouver, WA 98661 (360) 535-3135

Work

Position: Machine Operators, Assemblers, and Inspectors Occupations

Education

Degree: Associate degree or higher

Emails

t***[email protected]

Business Records

Name / Title
Company / Classification
Phones & Addresses
Todd Michael Albro
President,Chairman
ALBRO CONSTRUCTION, INC
6402 SE Riverside Dr, Vancouver, WA 98661

Publications

Us Patents

Menu Generator, System And Methods For Generating Clinical Menus

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US Patent:
20040091843, May 13, 2004
Filed:
Nov 12, 2002
Appl. No.:
10/292973
Inventors:
Todd Albro - Vancouver WA, US
Scott Murdoch - Bothell WA, US
Eugene Garrett - Vancouver WA, US
William Eklund - Portland OR, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Saint Paul MN, US
International Classification:
G09B019/00
US Classification:
434/127000
Abstract:
A method to generate a clinical menu may select a food item from a database. For this method an attribute of a clinical record may be used to influence the food selection. In a particular example, the attribute may serve as an index to assist indexing of the database. The attribute may be based on the level of micronutrients, level of a macronutrients, health condition or food preference of a patent. In another embodiment, the nutritional elements of a food item may be compared to guidelines of a patient, and a selection of the food item may be made dependent on the comparison results. In accordance with a further embodiment of the present invention, a system may comprise a host operable to access food and client databases, and a client station in communication with the host. A machine-readable storage media may store a sequence of instructions which, when executed by the host, cause it to display and operate an interactive window in the client station to establish an individual identity. The information of the individual may be used to retrieve clinical criteria from a patient database. The instructions may further be operable to influence selection of food items from a food database with preferences dependent on the clinical criteria retrieved.

Machine Learning Implementations For A Menu Generation Platform

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US Patent:
20200098466, Mar 26, 2020
Filed:
Aug 29, 2019
Appl. No.:
16/556136
Inventors:
- Meridian ID, US
Todd Albro - Eagle ID, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Livermore CA, US
Lee Brillhart - Seattle WA, US
International Classification:
G16H 20/60
G16H 10/20
A23L 33/00
H04W 4/021
G06F 3/0482
Abstract:
A method of operating a machine learning model on a menu generation platform involves storing user modification for a menu generation platform comprising a menu generation algorithm, a food preference algorithm, a geofenced equivalence recommendations algorithm, and a behavior modification algorithm in a historical user interaction database. The method generates modification and optimization controls for the menu generation platform through operation of the machine learning algorithm configured by entries in the historical user interaction database and entries in a platform user interaction database. The method generates relevant suggestions and modifications for the menu generation algorithm, the food preferences algorithm, geofence equivalence algorithm, and behavior modification algorithm, displayable through a user interface.

System And Method For Operating A Food Preference Algorithm

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US Patent:
20200090060, Mar 19, 2020
Filed:
Aug 26, 2019
Appl. No.:
16/551552
Inventors:
- Meridian ID, US
Todd Albro - Eagle ID, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Livermore CA, US
Lee Brillhart - Seattle WA, US
International Classification:
G06N 5/04
G06F 16/28
G06N 20/00
G06F 16/23
G16H 20/60
Abstract:
A method of operating a food preference algorithm involves retrieving a meal framework including at least one food component category from a meal framework database through operation of a meal selector configured by a preferences profile in a user profile, generating a meal profile including at least one food item retrieved from a food item database through operation of a food component selector configured by the meal framework and the preferences profile, operating a machine learning food preferences algorithm, and applying the updated food preferences control to the preferences profile.

System And Method For Modifying Dietary Related Behavior

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US Patent:
20200074879, Mar 5, 2020
Filed:
Aug 30, 2019
Appl. No.:
16/558035
Inventors:
- Meridian ID, US
Todd Albro - Eagle ID, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Livermore CA, US
Lee Brillhart - Seattle WA, US
International Classification:
G09B 19/00
G06N 20/00
Abstract:
A method of operating a system for modifying behavior involves generating behavior adherence data from monitored behavior data, meal planning data, meal consumption (or food log) data, and planned activities data through operation of a behavior analyzer. Behavior adherence data is stored as historical user behavior in a controlled memory data structure. A behavior modifying notification is generated from demographic information, the behavior adherence data, the historical user behavior, health and behavior research data, biometric data, and location data from a user's mobile device, through operation of a machine learning algorithm. The behavior modifying notification is displayed through a display device of the mobile device, and the displayed behavior modifying notification is communicated to the behavior analyzer for generating the behavior adherence data.

Systems And Methods For Creating Meal Plans

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US Patent:
20200074884, Mar 5, 2020
Filed:
Aug 30, 2019
Appl. No.:
16/557983
Inventors:
- Meridian ID, US
Todd Albro - Eagle ID, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Livermore CA, US
Lee Brillhart - Seattle WA, US
International Classification:
G09B 19/00
G16H 20/60
Abstract:
A method of operating a meal plan optimization algorithm involves retrieving at least one user profile from a profile database. A menu generation algorithm is configured with user preferences from the at least one user profile. A selector is configured to retrieve food items from at least one proximal food database for the menu generation algorithm from the user preferences. The menu generation algorithm may operate a meal target evaluator recursively, through operation of an iterator, to adjust and substitute meal components and then generate a meal day plan from the individual meals. A kcal target evaluator may be operated to adjust the portion size for the individual meals in the meal day plan. And a food menu for at least one day displayable through a user interface associated with the at least one user profile, from meal day plans may be generated through operation of a constructor.

Geofenced Equivalence Recommendations For Meal Plan Menu

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US Patent:
20200075153, Mar 5, 2020
Filed:
Aug 30, 2019
Appl. No.:
16/557976
Inventors:
- Meridian ID, US
Todd Albro - Eagle ID, US
Caleb Skinner - Beaverton OR, US
Shannon Madsen - Livermore CA, US
Lee Brillhart - Seattle WA, US
International Classification:
G16H 20/60
G06F 3/0482
H04W 4/021
G06F 16/909
H04W 4/029
H04W 64/00
G06Q 10/10
Abstract:
A method of generating geofenced equivalence recommendations for a menu generating system involves communicating spatiotemporal location for a user device from a user interface (UI) wizard at a geofenced equivalence recommendations algorithm, configuring the geofenced equivalence recommendations algorithm with user location preferences comprising a food source type parameter, a food source distance parameter, and proximal food preferences received from the UI wizard, identifying a geographic region and a geolocation from the spatiotemporal location through operation of the geofenced equivalence recommendations algorithm, configuring a food component selector with the geographic region, the geolocation, and the user location preferences to identify relevant proximal food databases, and configuring a menu generation algorithm with the geographic region, the geolocation, and the proximal food preferences to generate at least one spatiotemporal location based meal entry in a meal plan menu from the relevant proximal food databases.
Control profile
Todd M Albro from Eagle, ID, age ~60 Get Report