US 12,236,334 B2
Forecasting device, method, and program for predicting user financial assets and health
Hisashi Kurasawa, Musashino (JP); Shozo Azuma, Musashino (JP); Naoki Asanoma, Musashino (JP); Akihiro Chiba, Musashino (JP); Kana Eguchi, Musashino (JP); Tsutomu Yabuuchi, Musashino (JP); and Kazuhiro Yoshida, Musashino (JP)
Assigned to NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
Appl. No. 17/273,037
Filed by NIPPON TELEGRAPH AND TELEPHONE CORPORATION, Tokyo (JP)
PCT Filed Sep. 4, 2019, PCT No. PCT/JP2019/034823
§ 371(c)(1), (2) Date Mar. 3, 2021,
PCT Pub. No. WO2020/050327, PCT Pub. Date Mar. 12, 2020.
Claims priority of application No. 2018-165705 (JP), filed on Sep. 5, 2018.
Prior Publication US 2022/0129734 A1, Apr. 28, 2022
Int. Cl. G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06Q 40/08 (2012.01)
CPC G06N 3/045 (2023.01) [G06N 3/08 (2013.01); G06Q 40/08 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A prediction apparatus comprising:
a processor; and
a storage medium having computer program instructions stored thereon, when executed by the processor, perform to:
record a predictive model to predict time-series data showing a future financial asset amount of a user, wherein the predictive model is a neural network;
receive evaluation data that is time-series data including a first numeric value showing a financial asset amount, a second numeric value showing an asset management plan, a third numeric value showing a health condition of the user, a fourth numeric value showing a health action plan, and a fifth numeric value showing a disease risk;
input the evaluation data to the predictive model recorded on a predictive model recording unit; and
output the time-series data showing the future financial asset amount of the user predicted by the predictive model according to the input,
wherein a person inputs the evaluation data to the predictive model through an input device, the processor outputs to a display device the time-series data showing the future financial asset amount, and the person modifies the evaluation data through the input device in response to the output future financial asset amount.