153 results about "Decision making support systems" patented technology

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

A software-based, integrated member decision support system provides a method for corporations, insurance carriers, health maintenance organizations, physicians, physician groups, or other clients to efficiently provide medical, pharmaceutical, and health benefit advice and information for an enrolled population. The system contains one or more databases which include member profiles, clinical information and guidelines, pharmaceutical information and guidelines, health benefit information, and optional additional information. A caller establishes communication with the system, which directs the caller to an operator who provides the caller with medical, pharmaceutical, and / or health benefit advice based on an inquiry from the caller and the information stored on the system. The system may automatically alert the caller or the operator of important medical or pharmaceutical information. At the conclusion of the call, the system or the system with the operator's input, may update the caller's member profile, request written materials, generate referrals, order prescriptions, or generate reports.

The current invention is directed to a system for adaptive medical decision support. The invented system provides a system that allows users to efficiently enter, access, and analyze medical information, without disrupting patient-doctor interactions or medical facility course of business; which assists in all stages of medical assessment and treatment; and which is tailored to the particular medical practice or specialty and taking into account the developing habits, preferences, performance, and individual patient histories, of an individual user. The invention provides a learning capacity configured to learn previously presented data and decisions and predict data or decisions based on data that it receives from the user, thereby adapting its operations to the developing habits, preferences, performance, and individual patient histories of an individual user. The system may also provide a “virtual specialist” feature, whereby the system can be instructed to produce the probable actions or recommendations of particular medical specialists.

Exemplary embodiments of the present invention will assist patients with their investigation of, and decision making about, the treatments that are available to them using conjoint analysis methods that measure individual preferences for risk-associated treatment options, while maintaining an acceptable interview length. In exemplary embodiments, such individual preferences, known as “utilities” in economics literature, will be combined with evidence-based outcomes data regarding the probabilities of treatment outcomes; exemplary embodiments will use “decision analysis” and modified “conjoint analysis” methods, to dynamically generate for patients real-time individualized, evidence-based feedback, rankings and recommendations regarding medical treatment alternatives that are available to the patient based on the patient's medical condition and prognostic indicators.

CAD (computer-aided decision) support systems, methods and tools are provided for automated decision support for screening, evaluating, and / or diagnosing medial conditions. For example, CAD support systems and tools implement methods for automatically processing patient data for a subject patient using various interpretation methods, and integrally rending and presenting the interpretation results to a user (e.g., physician, radiologist, etc.) in a manner that enables fast and efficient screening, evaluation, and / or diagnosis of potential medical conditions of the subject patient.

A grid planning computer assistant decision-making supporting system, in the field of computer application technologies, consists of an entity library, a module for the procurement and conversion of GIS graphic data, a user graphic interface module, a system data treatment and maintenance module, a network planning module, a form and graph printing module, and a dynamic link library. The module for the procurement and conversion of GIS graphic data obtains graphic data; the entity library obtains the graphs and geological information data needed by grid planning from the module for the procurement and conversion of GIS graphic data; the network planning module makes plan for the grid and evaluates the planning scheme; the system data treatment and maintenance module enters the data needed in grid planning into the entity library, and maintain parameters of the entity library; data exchange among the modules is realized through the user graphic interface module and the system data treatment and maintenance module. The invention relieves planners of heavy works and lifts the level and efficiency of grid planning.

A decision support system includes a measurement device configured to continuously measure a physiological parameter of a patient. An insulin delivery device provides insulin to the patient per an initial basal profile and the parameter measurements. A storage device holds historical data of insulin delivery to the patient. A processor determines deviations of the delivery of insulin from the basal profile for one or more time period(s) using the historical data, computes a respective first basal-profile adjustment for each of the one or more time period(s) using the determined deviations, and annunciates the computed first basal-profile adjustment(s). A method of recommending a basal-rate adjustment includes measuring the parameter, infusing the patient with insulin and storing the historical data, determining the deviations from the basal profile, computing the first basal-profile adjustments, and annunciating the computed first basal-profile adjustment(s).

The present invention provides systems and methods for decision making support. The decision making support can be used, for example, for help desk troubleshooting, medical diagnosis, financial planning, and expert device. The decision support system of the invention includes a processor and a memory having a decision support program module, a phase dictionary, one or more solution nodes and optionally a topic identification information module. The decision support module is configured to enable the processor to receive a problem constraint and one or more user-specified phrases, which are then used to search nodes in a solution domain to identify a set of nodes potentially related to the user's problem or question. The set of nodes potentially related to the user's problem or question are ranked and displayed. Methods to determine potential solution nodes and to update solution nodes within the decision support system are provided.

Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

The present invention includes methods, circuits, devices, systems and associated computer executable code for providing driver decision making support. According to some embodiments, there may be provided a driver decision support system, which may generate action recommendations to a commercial driver, such as a taxi driver, a cab driver, a limo driver or any other kind of driver who picks up and transports passengers or cargo on an ad hoc (or otherwise flexible / uncertain) basis.

The invention relates to an on-line large power grid recovery assistant decision-making system. The system comprises two work modes, namely a real-time assistant mode and a research and analysis mode, a fracture surface operation analysis module, a calculation configuration module, a calculation function module and a calculation management module, wherein the fracture surface operation analysis module is used for fracture surface reading and fracture surface adjustment, the calculation configuration module is used for setting calculation parameters and selecting a black-start power supply and a started power supply, the calculation function module is used for system partitioning, load flow calculation, electromagnetic transient calculation, electromechanical transient calculation and path search and assessment, and the calculation management module is used for displaying system partitioning schemes, voltage waveforms, ranking of available paths and a black-start generating scheme. When the on-line large power grid recovery assistant decision-making system is used for developing an on-line electric power system recovery assistant decision-making supporting system, existing data resources in a dispatching center can be sufficiently utilized, the advantages of the method of pre-arranged scheme recovery and intelligent dispatching are combined, a model does not need to be rebuilt, the construction time and cost of the system are reduced, the real-time performance and the accuracy of suggestions to decision-making are improved, and a powerful support is provided for rapid and reliable recovery of a power grid after power outages.

The present invention discloses an intelligent emergency decision support system for emergency communication, and the system is established based on various models and automatically integrates information from various sources and information in various data formats. Intelligent automatic classification, clustering, automatic correlation and personalized processing are conducted through deep digging, collision and analysis of various data resources on each system platform. Based on big data platform and assistant decision-making model, the system can automatically implement one-stop automatic analysis, automatically generate disposal schemes and communication support schemes for the disposal of emergencies, and evaluate communication support schemes according to different site environments and requirements, give suggestions for evaluation reports and regenerate specific evaluation reports. Intelligent and standardized emergency disposal is really realized, so as to improve the decision-making command and rapid response ability, so that emergencies can be dealt with in the shortest time to minimize disaster losses.

Embodiments in accordance with the present invention relate to methods and apparatus for an intelligent human-machine interface. By way of example, but not limited thereto, embodiments of methods and apparatus are presented of an intelligent human-machine interface for the operating room, and more particularly, to systems and processes for real-time management and feedback of process control, situational awareness, logistics, communication, and documentation, herein referred to as system. One element of the system, among others, provides a knowledge base that organizes information and rules that enables an accurate, relevant and timely decision support system. The knowledge base is represented in a hierarchical structure of functions and systems. The system serves as platform for the avoidance, detection and timely correction of errors, and as such, acts as a countermeasure to error.

The invention discloses an intelligent evidence-based acupuncture and moxibustion diagnosis and treatment system and method. The system comprises an acupuncture point detection module, an acupuncture point positioning module and an acupuncture and moxibustion therapy module which can be used separately or combined for use, as well as a data transmission module and a disease diagnosis and treatment decision supporting system, wherein the acupuncture point detection module, the acupuncture point positioning module and the acupuncture and moxibustion therapy module comprise two or more of an acupuncture point treatment and sensing probe, a microprocessor, a display unit and a voice broadcasting unit, and the microprocessor is connected with the disease diagnosis and treatment decision supporting system by the data transmission module. The intelligent evidence-based acupuncture and moxibustion diagnosis and treatment system and method can obtain remote acupuncture and moxibustion evidence-based information by the disease diagnosis and treatment decision supporting system, and have the advantages of precisely detecting all physical characteristics of the acupuncture points, providing complete and reliable diagnosis reference and basis for patients and medical staff, providing accurate and reliable positioning results, and adopting multiple acupuncture and moxibustion therapy means so as to provide convenience to users, and ensuring the diagnosis and treatment scheme as optimal scheme by obtaining remote acupuncture and moxibustion evidence-based information through multiple data transmission modes.

Described herein is a platform and supported graphical user interface (GUI) decision-making tools for use by medical practitioners and / or their patients, e.g., to aide in the process of making decisions about a course of cancer treatment and / or to track treatment and / or the progress of a disease.

The invention discloses a computerized method, system and device for maximizing airport landing and takeoff capacity by generating an optimized landings and takeoffs schedule for a plurality of aircrafts located in a vicinity of a specific airport by determining an optimal four dimensional (4D) trajectory for efficient landing / takeoff sequence and time schedule.The aircrafts are separated by the number of parameters to ensure safety for the aircrafts according to the updated FAA / EASA standards. Accordingly, the model disclosed in the invention works under current FAA / EASA runway usage, precedence and time constrains.Special Takeoffs Traffic Lights System is additionally disclosed, wherein Traffic Lights will be installed on the runway to increase the landing / takeoff safety, such traffic lights will have changing green / red colors on vacancy / occupancy of the specific runway.The system could be used either as an automatic system or as a decision-support system for ATC personnel.

The invention discloses a diagnosis and treatment decision-making support system. The system includes a human-computer interaction unit, a processing unit, a decision-making support unit and a database unit, wherein the human-computer interaction unit is used for a user to exchange data with the diagnosis and treatment decision-making support system, the processing unit is connected with the human-machine interaction unit and is used for performing business and data processing, the decision-making support unit is connected with the processing unit and is used for feeding back decision-making schemes according to input data, and the database unit is used for storing medical treatment data to provide a data foundation for the decision-making support unit. The system of the invention can maximally conform to actual clinical diagnosis and treatment processes and provide full-process diagnosis and treatment decision-making services for doctors. With the diagnosis and treatment decision-making support system of the invention adopted, diagnosis and treatment schemes and suggestions can be provided for doctors; the doctors can be assisted to improve decision-making levels; the doctors canbe prompted with potential errors; diagnostic suggestions and decision-making schemes can be provided according to the disease conditions of specific patients, so that the doctors can be assisted to comprehensively understand a wide range of possibilities; the doctors can be assisted to make better decisions, so that a misdiagnosis rate can be reduced; and the system can be combined with the actual diagnosis and treatment processes, so that the actual diagnosis and treatment processes can be standardized.

The invention provides a knowledge base construction method and system for an intelligent clinical assistant decision making supporting system, and relates to the field of knowledge base construction. The method comprises the steps that input information is acquired, word segmenting processing, part-of-speech tagging and grammatical analysis are conducted on the input information, a relational dependence tree is acquired, and concepts, entities and entity modifiers in the relational dependence tree are extracted; the relation among all the entities in the relational dependence tree is acquired through relational semantic rules according to the concepts, the entities and the entity modifiers; an extending ternary group is set, the relation among all the entities in the relational dependence tree is stored through the extending ternary group, and then knowledge base construction is completed. The method and the system can be applied to the condition of more clinical examples and characteristics and can be flexibly expanded for case description information.

The invention discloses a power grid typhoon prevention and disaster relief aid decision making support system based on a GIS (Geographic Information System) and relates to a decision making system. Several typhoons land at coastal regions at Zhejiang province every year, power grid facilities and equipment are seriously damaged, and the operation safety of a power grid is severely affected. The power grid typhoon prevention and disaster relief aid decision making support system based on the GIS comprises an electric power GIS subsystem, a disaster prevention emergency command rehearsal subsystem, a line fault monitoring and early warning subsystem, a disaster evaluation and statistics subsystem and a power grid disaster prevention emergency command subsystem. According to the technical scheme, the disaster detailed information can be rapidly and scientifically obtained, the emergency repair is aided, the management level is effectively improved, the power grid loss is reduced, the residential electricity consumption and the commercial power are ensured, and strong guarantee is provided for the operation safety of the power grid.

A medical diagnosis decision support system for assisting a health professional to diagnose a medical condition. The system is first provided with an anchor condition that can be a symptom, a sign, a laboratory test result, or an imaging test results or any combination thereof The system then guides users in a series of predetermined phases regarding abstract or concrete diagnosis groups that should be considered and appropriate data that should be collected during the clinical investigation process. The system suggests history and physical examination clinical data items, laboratory, and imaging tests that should be collected in order to differentiate among alternative diagnoses. In each phase, possible diagnoses are listed and ranked.

The invention discloses a knowledge graph-based cross-department early-diagnosis and decision support system for chronic kidney diseases. The system comprises a patient information model establishmentmodule, a patient information model library storage module, a knowledge graph association module, a knowledge graph reasoning module and a decision support feedback module. According to the invention, a patient information model is constructed, and an OMOP CDM standard term system is utilized to construct electronic medical record data of patients into the patient information model with unified concept codes and unified semantic structures; the advantages of a semantic technology in data interaction and expansion are given to play, so the system has better adaptability and expandability to heterogeneous data of different hospitals; and meanwhile, clinical suggestions obtained through knowledge reasoning based on the knowledge graph are originated from clinical guidelines and doctor experience conforming to evidence-based medicine, and reasoning process and suggestion reasons can be traced and acquired by constructing reasoning instances, so the reasoning process and the suggestion reason can be given while clinical suggestions are given, and the credibility of doctors to decision support suggestions is improved.

The invention relates to an infectious disease prevention and control system, in particular to a frontier port infectious disease quarantine decision making support system which comprises a medical inspecting and infrared thermal imaging body temperature video monitoring system, a passenger autonomous application system, a port health quarantine service information management system and a front end decision making support application system and further comprises a cloud computing SaaS mode support system used for collecting epidemic situation data from the port health quarantine service information management system, automatically collecting the epidemic information of countries and regions from WHO notification, the notification of the ministry of health and the epidemic situation information disclosed by the Internet through a Web creeper technology and adopting a large data analysis technology to provide decision making support and risk evaluation for the leader or the relevant decision making department. By means of the system, a unified frontier port infectious disease three-class laboratory network prevention and control system is built, and a full-direction three-dimensional multilevel comprehensive prevention and control network is built.

The invention is a design based on an intelligent design platform application system, belonging to the field of the application of the calculation analysis module of a power grid decision. The system adopts the hardware environment of a regional power grid dispatching decision support system, support platform software and data platform software, wherein the hardware part can be divided into computer network, data acquisition, real-time monitoring and control, historical data storage, network safety equipment, dispatcher workstation, maintenance workstation and the like, and the software of the system adopts a WINDOWS system, a database system Oracle, an advanced support platform and application software. Real-time data collected by a computer network and a data acquisition module is sent to a real-time monitoring and controlling module by being communicated with a communication server and is variedly processed and transformed; relevant parameters are stored in a historical data storage module; finally, a machine operating the advanced application software of an operation power grid serves as a terminal workstation which also doubles as a client; and a man-machine conversation window provides a handling means for operation personnel and dispatchers.

The invention discloses a cloud based irrigation district water-saving irrigation decision-making support system. The system comprises a cloud server, wireless data transmission modules, single chip microcomputers, sensors and a gate, and the cloud server comprises a database and a webpage. Decision-making steps of the system include: setting up the database, carrying out multi-point measurement of paddy field moisture and water level of a district to be measured, and storing average data in the database; automatically capturing data of an official weather forecast website, storing the data in the database, and using temperature data for estimating water requirement of crops; according to measured data and a corresponding water balance model, computing to judge whether irrigation is needed or not, and if so, determining irrigation amount and irrigation time; and enabling the webpage to be capable of serving as a data display terminal and a lower computer control terminal. The irrigation district water-saving irrigation decision support system is set up on the basis of the cloud server, data is transmitted through a mobile network, and accordingly data transmission range can be enlarged, and irrigation district informatization management level is improved.

The invention discloses an integrated planning decision support system of an urban connection bus system. Fusion of big data, The invention discloses a GIS, operation optimization, artificial intelligence and other technologies. analyzing resident travel time-space aggregation points through mobile phone signaling data and a GIS; the actual topological structure of the road is considered; feasibleconnection stations around any resident travel gathering point are automatically screened; Running state according to traffic network, An intelligent decision-making technology is utilized, an optimal resident getting-on position is selected from an alternative connection station set, demand points are distributed to connection stations, accordingly, the sequence of the connection lines accessingthe connection stations and the departure frequency of the connection lines are calculated, and urban connection bus system design is assisted by comparing design schemes under different conditions.The method provided by the invention is applied; The method has the advantages that connection bus planning and management can be assisted, on the basis of passenger travel space-time aggregation characteristics, the optimal bus station position is selected according to the topological structure and the operation state of a traffic network, demand points are distributed to selected connection stations, the route direction and the departure frequency are reasonably determined, the travel convenience of passengers is improved, and the bus operation cost is reduced.

In one aspect, the invention is based on a process that combines information present in a joint distribution of the predictor variables and the variable (or variables) to be predicted. This information may be captured in the form of a table or other like data structure that includes a set of vectors (referred to as a “TAB”). The process uses the information in the TAB in conjunction with one or more rules. In one embodiment, a set of different rules are applied to the TAB to determine which rule in the set produces the most accurate predictions. The RULE that produces the most accurate predictions is then used in conjunction with observed information to make predictions.