US 11,791,047 B2
Medication recommendation system and method for treating migraine
Nicholas Laurent Paris, Singapore (SG); Francois Jean Sebastien Cadiou, Singapore (SG); and Christophe Perret, Singapore (SG)
Assigned to HEALINT PTE. LTD., Singapore (SG)
Filed by HEALINT PTE. LTD., Singapore (SG)
Filed on Apr. 28, 2022, as Appl. No. 17/661,227.
Application 17/661,227 is a continuation of application No. 17/302,796, filed on May 12, 2021, granted, now 11,355,243.
Application 17/302,796 is a continuation of application No. PCT/IB2019/059692, filed on Nov. 12, 2019.
Claims priority of application No. 1818360 (GB), filed on Nov. 12, 2018.
Prior Publication US 2022/0254494 A1, Aug. 11, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/20 (2018.01); G16H 20/10 (2018.01); G16H 80/00 (2018.01)
CPC G16H 50/20 (2018.01) [G16H 20/10 (2018.01); G16H 80/00 (2018.01)] 26 Claims
OG exemplary drawing
 
1. A system comprising:
a data store comprising a program of instructions; and,
a processor operably coupled to the data store such that, when the processor executes the program of instructions, the processor causes health event prediction model operations to be performed to generate an environmentally-responsive therapy prediction, the operations comprising:
receive, via a first electronic message from a client device of a user, a first health event profile (HEP) comprising a first time corresponding to onset of a first health event of the user and a first location corresponding to a location of the user;
generate and transmit to a weather server a weather retrieval message (WRM) comprising the first time and the first location;
generate, in response to receiving from the weather server a weather message comprising a first atmospheric pressure corresponding to the first time and the first location, a first weather-enriched HEP comprising the first HEP and the first atmospheric pressure;
apply a medication recommendation model (MRM) to the first weather-enriched HEP to determine a recommended medication as a function of at least the first weather-enriched HEP and at least one historical outcome-enriched HEP, wherein each historical outcome-enriched HEP comprises a weather-enriched HEP corresponding to a historical health event, a corresponding recommended medication, and a corresponding indication whether the recommended medication was successful;
generate a recommendation message comprising the recommended medication;
generate a request message containing a first prompt for the user to input whether a medication was taken according to the recommendation message, and a second prompt for the user to input whether the medication was successful;
generate and store, in response to receiving from the client device an outcome message containing an outcome profile (OP) generated from user input in response to the request message, an outcome-enriched HEP comprising the weather-enriched HEP and the OP; and,
generate an adjusted MRM based on the outcome-enriched HEP.