49results about How to "Improve statistics performance" patented technology

Abstract of Disclosure A system and method used to assess animal behavior includes a module having sensors that collects a variety of physical and biological data from a test subject. Interpretation of the data is provided to assess the test subject's behavior, neurology, biochemistry and physiology. The module is useful in observing the effects of a drug on the test animal and providing information on the drug's signature. Another advantage is module's portability that allows it to be used in standard laboratory cages. This portability allows the animal to be tested in its own habitat, that can reduce any erroneous data due to stressing the animal when removed to a test cage. Additionally, the module's design allows for parallel data collection and interpretation from several laboratory animals undergoing different experiments. Multi-dimensional modeling of the test subject based the system's interpretation of the data allows pattern recognition of the drug signature, and predictive drug analysis.

A system for developing and implementing empirically derived algorithms to generate decision rules to determine participant noncompliance and fraud with research protocols in clinical trials allows for the identification of complex patterns of variables that detect or predict participant noncompliance and fraud with research protocol, including performance and enrollment goals, in the clinical trial. The data may be used to overall predict the performance of any participant in a clinical trial, allowing selection of participants that tend to produce useful, high-quality results. The present invention can also be used to monitor participant compliance with the research protocol and goals to determine preferred actions to be performed. Optionally, the invention may provide a spectrum of noncompliance, from minor noncompliance needing only corrective feedback, to significant noncompliance requiring participant removal from the clinical trial or from future clinical trials. The algorithms and decision rules can also be domain-specific, such as detecting non-compliance or fraud among subjects in a cardiovascular drug trial, or demographically specific, such as taking into account gender, age or location, which provides for algorithms and decision rules to be optimized for the specific sample of participants being studied.

A method of evaluating and / or optimizing clinical outcomes and providing rational pharmacotherapy in an individual or animal requiring chronic drug therapy is provided.

A method of evaluating and / or optimizing clinical outcomes and providing rational pharmacotherapy in an individual or animal requiring chronic drug therapy is provided.

Abstract of Disclosure A system and method used to assess animal behavior includes a module having sensors that collects a variety of physical and biological data from a test subject. Interpretation of the data is provided to assess the test subject's behavior, neurology, biochemistry and physiology. The module is useful in observing the effects of a drug on the test animal and providing information on the drug's signature. Another advantage is module's portability that allows it to be used in standard laboratory cages. This portability allows the animal to be tested in its own habitat, that can reduce any erroneous data due to stressing the animal when removed to a test cage. Additionally, the module's design allows for parallel data collection and interpretation from several laboratory animals undergoing different experiments. Multi-dimensional modeling of the test subject based the system's interpretation of the data allows pattern recognition of the drug signature, and predictive drug analysis.

The present invention is designed to develop research protocols for clinical trials. The invention can track and enhance subject compliance with a research protocol. The invention further provides evaluability data related to subject performance in the clinical trial. According to an alternative embodiment of the invention, a portable electronic device is used to query and collect data from the subject.

A method buffering packets in a packet switching network (FIG. 5) includes receiving a packet from the network; splitting the packet into a plurality of PDUs; stripping at least some of the PDUs over a plurality of memory banks; (18) retrieving the PDUs from the memory banks: and at least temporarily storing the retrieved PDUs in the sequence they are to be transmitted. An apparatus for implementing the method is also disclosed.

The invention discloses a device and method for processing data. The device comprises a determination module, an acquisition module, a processing module and a counting module, wherein the determination module is used for determining each sub-counting time period according to preset counting duration; the acquisition module is used for acquiring user identities of online users in each sub-counting time period; the processing module is used for creating a bitmap corresponding to each sub-counting time period and setting bit sites corresponding to the acquired user identities to 1 in the created bitmaps; the counting module is used for counting the active user volume in the preset counting duration. According to the embodiments of the invention, the performance and efficiency of counting of the active user volume are improved, and the storage space is saved.

The invention belongs to the technical field of the network monitoring, and specifically relates to a monitoring system adopting a depth analysis way of the network operation and maintenance, and a method thereof. The monitoring system comprises a configuration unit, a data unit and an alarm unit; the configuration unit is used for configuring a parameter rule, and respectively sending the configured parameter rule to a collection client and an abnormity judgment unit; the data unit comprises the collection client, a transmission module and a data distribution module; the collection client isused for collecting data, and transmitting the collected data to the data distribution module through the transmission module; the data distribution module is used for distributing the received collected data to the abnormity judgment module to process; the alarm unit comprises an abnormity judgment module, an abnormity database and an alarm execution module; the abnormity judgment module is usedfor obtaining the abnormity information after analyzing the one piece of monitoring data according to an alarm rule, and sending the abnormity information to the abnormity database; and the alarm execution module is used for acquiring the information in the abnormity database and executing the alarm.

Methods and systems for selecting a cohort group or a patient at risk from a population of patients with mild cognitive impairment. The methods include using a computer configured to perform the steps: receiving normalized learning data from a portion of the population of patients; tuning a set of decision trees on the normalized learning data; receiving patient data from one or more patients of the population, wherein the patient data is independent from the learning data; classifying the patient data with the tuned set of decision trees to obtain patient threshold values; and displaying the patient threshold values.

The present invention is designed to develop research protocols for clinical trials. The invention can track and enhance subject compliance with a research protocol. The invention further provides evaluability data related to subject performance in the clinical trial. According to an alternative embodiment of the invention, a portable electronic device is used to query and collect data from the subject.

The present invention is designed to develop research protocols for clinical trials. The invention also can track and enhance subject compliance with a research protocol. The invention further provides evaluability data related to subject performance in the clinical trial. According to an alternative embodiment of the invention, a portable electronic device is used to query and collect data from the subject.

A method buffering packets in a packet switching network (FIG. 5) includes receiving a packet from the network; splitting the packet into a plurality of PDUs; stripping at least some of the PDUs over a plurality of memory banks; (18) retrieving the PDUs from the memory banks: and at least temporarily storing the retrieved PDUs in the sequence they are to be transmitted. An apparatus for implementing the method is also disclosed.

The invention discloses a network rating statistical method and device. The method includes the steps of obtaining the playing behavior records of a target played object in the target time period, obtaining the number of the initial rating times of the target played object, traversing the playing behavior records of the object played object in the target time period, obtaining the number of the playing start rating times at each moment in the target time period, and calculating the number of the rating times in the target time period according to the number of the initial rating times and the number of the playing start rating times. By means of the method and the device, the problem that the system performance is consumed in the rating time statistical process is solved.