公开(公告)号：US20240185094A1

公开(公告)日：2024-06-06

申请号：US18285307

申请日：2021-04-09

Applicant: NEC Corporation

Inventor： Kenji ARAKI ,  Kosuke NISHIHARA ,  Yuki KOSAKA

IPC: G06N5/022 ,  G06N7/01

CPC classification number: G06N5/022 ,  G06N7/01

Abstract: A prediction model generation apparatus according to an example embodiment of the present disclosure includes: at least one memory storing instructions; and at least one processor configured to execute the instructions to: divide a region in which a probability distribution of an objective variable exists into a plurality of small regions according to a property of the objective variable for learning data including the objective variable; model an existence probability that the objective variable belongs to each of the small regions; use the learning data to model, for each of the small regions, a probability distribution related to a possible value of the objective variable in the small region under a condition that the objective variable belongs to the small region; and constructs a prediction model of the objective variable by integrating the modeled probability distribution for each of the small regions using the existence probability.

公开(公告)号：US20240120099A1

公开(公告)日：2024-04-11

申请号：US18481415

申请日：2023-10-05

Applicant: NEC Corporation

Inventor： Yuki KOSAKA ,  Shinto EGUCHI

IPC: G16H50/20

CPC classification number: G16H50/20

Abstract: A machine learning model generation apparatus includes: a movement unit that performs movement processing of moving a sample, having an output error of a (t+1)-th order machine learning model with respect to observation data at time t+1 being larger than a predetermined amount, from the target sample group to a source sample group; and a generation unit that generates a plurality of weak learners by using at least observation data of a sample included in the target sample group after the movement processing and a sample included in the source sample group after the movement processing, and generates a t-th order machine learning model, based on at least each of the plurality of weak learners, and a classification error being evaluated, for each of the plurality of weak learners, by using observation data at time t of the sample included in the target sample group after the movement processing.

公开(公告)号：US20220285030A1

公开(公告)日：2022-09-08

申请号：US17632871

申请日：2019-08-21

Applicant: NEC Corporation

Inventor： Yuki KOSAKA ,  Toshinori HOSOI ,  Masahiro KUBO

IPC: G16H50/30

Abstract: An information processing apparatus according to the present invention includes an input unit and a generating unit. The input unit accepts input of a first assessment value representing assessment of a subject at a predetermined moment and a second assessment value representing assessment of the subject after a lapse of a predetermined time from the predetermined moment for each of a plurality of items set in FIM (Functional Independence Measure). The generating unit generates a model for calculating the second assessment value with respect to the first assessment value for each of the plurality of items of the FIM based on information representing an association between the items of the FIM.

公开(公告)号：US20210383917A1

公开(公告)日：2021-12-09

申请号：US17285230

申请日：2019-10-15

Applicant: NEC Corporation

Inventor： Yuki KOSAKA ,  Masahiro KUBO ,  Yuan LUO ,  Shigemi KITAHARA

IPC: G16H40/20 ,  G06F40/268 ,  G06F40/279 ,  G16H10/60

Abstract: A nursing assistance device includes: a record omission determination unit that determines information whose record is omitted among nursing information related to nursing of a patient, based on a record omission determination condition related to the nursing information; and an output unit that outputs an input request for the determined information whose recording is omitted.

公开(公告)号：US20210313018A1

公开(公告)日：2021-10-07

申请号：US17255346

申请日：2019-06-27

Applicant: NEC CORPORATION

Inventor： Yuan LUO ,  Masahiro KUBO ,  Toshinori HOSOI ,  Yuki KOSAKA ,  Masahiro HAYASHITANI ,  Yuji OHNO ,  Yutaka UNO ,  Eiji YUMOTO ,  Shigemi KITAHARA

IPC: G16H10/20 ,  G16H10/60 ,  G16H50/70

Abstract: A patient assessment support device includes an output unit which outputs estimated support information estimated based on question information relating to nursing care for a patient when a record of known support information relating to the patient is determined as being absent.

公开(公告)号：US20170083670A1

公开(公告)日：2017-03-23

申请号：US15126413

申请日：2015-03-18

Applicant: NEC CORPORATION

Inventor： Yuki KOSAKA ,  Kazuyo NARITA ,  Satoshi MORINAGA ,  Ayumi ENDO ,  Kaori YAMADA ,  Aiko KUMANO ,  Maki KOMAMINE

IPC: G06F19/00

CPC classification number: G06F19/326 ,  G16H50/20

Abstract: A method of extracting a combination of a drug and an adverse event related to the drug includes: for each of positive example combinations, negative example combinations and combinations that are neither positive examples nor negative examples, which are combinations of drug and disease, extracting medical events from medical information data about a patient and generating attribute data based on time-series information about the medical events; and learning a discriminant model based on attribute data of the positive and negative examples; and inputting attribute data corresponding to the combinations that are neither positive examples nor negative examples to the discriminant model to determine scores.