US 12,205,725 B2
Methods and apparatus for evaluating developmental conditions and providing control over coverage and reliability
Brent Vaughan, Portola Valley, CA (US); Clara Lajonchere, Los Angeles, CA (US); Dennis Wall, Palo Alto, CA (US); Abdelhalim Abbas, San Jose, CA (US); and Jeffrey Ford Garberson, Redwood City, CA (US)
Assigned to Cognoa, Inc., Palo Alto, CA (US)
Filed by Cognoa, Inc., Palo Alto, CA (US)
Filed on Feb. 2, 2022, as Appl. No. 17/591,190.
Application 17/591,190 is a continuation of application No. 16/155,794, filed on Oct. 9, 2018, abandoned.
Application 16/155,794 is a continuation of application No. PCT/US2017/061552, filed on Nov. 14, 2017.
Claims priority of provisional application 62/452,908, filed on Jan. 31, 2017.
Claims priority of provisional application 62/421,958, filed on Nov. 14, 2016.
Prior Publication US 2022/0157466 A1, May 19, 2022
Int. Cl. G16H 50/30 (2018.01); G06N 20/00 (2019.01); G16H 20/10 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC G16H 50/30 (2018.01) [G06N 20/00 (2019.01); G16H 20/10 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
(a) receiving input data of a subject comprising a plurality of features, wherein said plurality of features corresponds to one or more of a behavioral disorder, developmental disorder, or neurological disorder;
(b) evaluating said input data using an assessment module comprising at least one tunable machine learning model that is configured to differentiate, based at least in part on said plurality of features, between at least one conclusive determination and an inconclusive determination with respect to a subject, thereby generating an evaluation result comprising said subject classification;
(c) requesting additional data of said subject when said evaluation result comprises said inconclusive determination of said subject classification;
(d) generating said at least one conclusive determination of said subject classification based at least in part on said additional data using said assessment module comprising said at least one tunable machine learning model, thereby updating said evaluation result to comprise said at least one conclusive determination of said subject classification, wherein said at least one conclusive determination indicates that said subject has one or more of said behavioral disorder, said developmental disorder, or said neurological disorder;
(e) determining a personalized treatment plan for said subject based at least in part on said at least one conclusive determination of said subject classification, wherein said treatment plan comprises administering a therapeutic drug to said subject, wherein said therapeutic drug is selected based at least in part on said at least one conclusive determination of said subject classification;
(f) monitoring said subject by periodically generating said at least one conclusive determination of said subject classification; and
(g) sending a control signal, said control signal controlling a drug delivery device to administer said therapeutic drug to said subject according to said treatment plan.