Hitachi, Ltd.

Hitachi Medical Corporation

Other

Kunihiko Kido

Koichi Sano

Kazuyuki Shimada

Takaaki Ishii

Hisayoshi Sato

Masayuki Yoshino

Yasuhiro Hashimoto

Ken Naganuma

Jun'ichi Taguchi

Hiroko Otaki

Koichi Haruna

Chiaki Hirai

Masayuki Ohta

Kaoru Kato

Yoshinori Satou

Jumpei Sato

Toru Hisamitsu

Shuntaro Yui

Hiromitsu Kurisu

Tatsuya Nakae

Syuntaro Yui

Yoshito Ohkawa

Masako Egashira

Toshiharu Kato

Masahiro Hanada

Takuya Kamiyama

In screening of documents based on a similarity between keywords, it is difficult to exclude documents having similar background but different conclusions. In a document review assistance method executed by a computer system, a storage unit stores data on a plurality of documents, and the document review assistance method includes: a step of creating, by a control unit, a sentence vector based on a sentence included in the plurality of documents; a step of classifying, by the control unit, the plurality of documents into a plurality of clusters based on the created sentence vector; a step of specifying, by the control unit, a subgraph on a network of a word in a first document set included in at least one of the clusters; and a step of controlling, by the control unit, the creation of the sentence vector based on the specified subgraph.

Document review assistance method, document review assistance system, and non-transitory computer readable medium

A sentence classification apparatus, a sentence classification method, and a sentence classification program that can appropriately classify sentences by adjusting parameters are provided. The sentence classification apparatus includes: a case sentence obtention unit for obtaining plural case sentences which are associated with effect values that are values obtained by evaluating effects; a case value creation unit for creating case values obtained by numerizing the case sentences for each of parameters with different values; a correlation coefficient calculation unit for calculating a correlation coefficient between the case values and the effect values for each of the values of the parameters; and a parameter selection unit for selecting a parameter among the parameters with different values on the basis of the correlation coefficient.

Sentence classification apparatus, sentence classification method, and sentence classification program

A device that holds a medical dictionary indicating medical concepts, drug information, medical care information and documents indicating a medical concept not included in the medical care information, identifies from the documents, for each combination of a medical concept not included in the medical care information and a drug included in the drug information, a document indicating the medical concept and the drug. The device generates a medical concept list including the medical concept indicated by the medical dictionary included in each identified document and determines, based on a probability of each medical concept not included in the medical care information appearing in a context of the document indicated by the medical concept list, from among the medical concepts not included in the medical care information, a medical concept having an influence on a prescription of the drug included in the drug information.

Medical information processing device, medical information processing method, and storage medium

The task is to provide a system which supports smooth patient referral from a referral source medical institution to a referral destination medical institution and which particularly prevents readmission due to cases that are difficult to determine simply based on patient attributes or due to the quality of medical services. To achieve this task, a referral difficult degree calculation unit calculates a referral difficulty degree which quantifies the risk that a patient cannot be discharged because a referral destination cannot be found, in consideration of a readmission risk calculated by a readmission risk calculation unit, the geographical distance between the patient and the referral destination medical institution, the total number of patients accepted, and the number of beds available. This referral difficulty degree is outputted to an output unit of the referral source medical institution or the referral destination medical institution.

Regional medical cooperation system

A processor is configured to: acquire clinical information containing cases each indicating a disease of a patient and a medical care event performed on the patient; acquire literature information containing literature indicating a name of the disease and a word indicating the medical care event; calculate a frequency of one case indicating a combination of a plurality of diseases based on the clinical information; analyze the literature information using each of the name of the disease and the word indicating the medical care event; acquire a criterion for determining a disease for which the medical care event has been performed; acquire first relevance information indicating whether the medical care event has been performed for the disease based on the analysis result, the calculated frequency and the acquired criterion; and generate medical information indicating a relationship between the medical care event and the disease based on the first relevance information.

Computer system and information processing method

Upon evaluation of a value of a diagnostic process, the value of a diagnostic process is evaluated not based on a simple cost but on a cost required for all processes of a patient who was in the diagnostic process through a follow-up survey. Diagnostic processes that are not relevant to a target diagnostic process are eliminated, clustering is performed on patients to divide the patients into clinically meaningful homogeneous groups, and the target diagnostic process is evaluated for each of the homogeneous groups. For the purpose, importance scores of data pieces of the clinical data are calculated and the relevant data is output using the output result of the medical knowledge extraction unit, clustering is performed on patients in the clinical data, and a clinical index and a cost are output for each of the clusters.

Diagnostic process analysis system

Display screen with graphical user interface

Introduction service is supported, in order to activate and facilitate community activities. A community management centersearches for offered-service information that matches at least partly with an application designated by a coordinator terminal, and selects participants specified by detected offered-service information, as introduction candidates. Then, an introduction candidate list that describes private information, desired terms, and possessed value of ticket for each of the selected introduction candidates is displayed on a coordinator terminal. When the coordinator terminalselects a participant to be introduced to the applicant, out of the introduction candidates described in the introduction candidate list, then, the private information and the desired terms of selected participant is displayed on a participant terminalof the applicant.

Introduction support method and system, and introduction method and system

In an image processing method and in an image processing apparatus, edge and flat zones of an original image are separately recognized, a first nonlinear flattening process effective for the edge zone is executed to obtain first data, and a second nonlinear flattening process effective for the flat zone is executed to obtain second data. An image is rearranged by using the first and second data for the edge and flat zones, respectively. On a computer-readable recording media, there is stored the image processing method in the form of a program code.

Image processing method, an image processing apparatus, and a recording media on which an image processing program is recorded

A noise filtering method including the steps of calculating a magnitude E.sub.i of density change for each of a plurality of linear direction components i in a local region around each of pixels of an inputted two-dimensional image, detecting such a direction as to minimize the magnitude E.sub.i of density change, conducting smoothing processing by deriving an arithmetic mean of densities of pixels in the local region arranged in the detected direction, and thereby reducing noise of the inputted image.

Method conducting smoothing processing in a linear direction having a

Physical quantities representing six kinds of freedom relating to parallel movement and rotation of an inspection object are detected during repetition of a measurement sequence of magnetic resonance imaging, and a direction and a position of a desired slice moved with parallel movement and rotation of the inspection object are calculated in accordance with the detection result. An intensity ratio of gradient magnetic fields in x-, y- and z-axes directions for synthesizing a slice direction gradient magnetic field, an intensity of a phase encoder gradient magnetic field and a read direction gradient magnetic field are determined so that a direction of an excitation slice coincides with the direction of the desired slice after movement. Similarly, a center frequency of excitation pulses is determined so that a position of the excitation slice coincides with the position of the desired slice after movement. Magnetic resonance signals are measured by imaging parameters so updated, and an image is reconstructed.

Method of motion tracking measurement in MR imaging system

Growing community of inventors

Tokyo, Japan

Kunihiko Kido