US 11,887,709 B2
Systems and methods for predicting recovery of a patient
Ni Ni Soe, Hyflux Innovation Centre (SG); and Charles Choy, Hyflux Innovation Centre (SG)
Assigned to NEC CORPORATION, Tokyo (JP)
Appl. No. 17/271,921
Filed by NEC Corporation, Tokyo (JP)
PCT Filed Aug. 23, 2019, PCT No. PCT/JP2019/033107
§ 371(c)(1), (2) Date Feb. 26, 2021,
PCT Pub. No. WO2020/050065, PCT Pub. Date Mar. 12, 2020.
Claims priority of application No. 10201807529V (SG), filed on Sep. 3, 2018.
Prior Publication US 2021/0319867 A1, Oct. 14, 2021
Int. Cl. G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G16H 40/63 (2018.01)
CPC G16H 10/60 (2018.01) [G16H 15/00 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer system, comprising:
a database that stores multimodal data of a person recovering from a brain injury;
a memory storing instructions; and
a processor configured to execute the instructions to implement analyzing the multimodal data over multiple intervals that span more than two months of time by:
executing longitudinal heterogeneous trajectory analysis on the multimodal data;
executing separation of heterogeneous groups that include good recovery potential of the brain injury, moderate recovery potential of the brain injury, and poor recovery potential of the brain injury;
predicting, based on the longitudinal heterogeneous trajectory analysis and the separation of the heterogeneous groups, functional recovery of the person from the brain injury; and
outputting a display of a graph comprising plots representing the predicted functional recovery of the person over a sequence of time.