Abstract: A method and an electronic device of checking drug interaction are provided. The method includes: generating a first odds ratio (OR) between a first drug combination and a hospitalization event, a second OR between a second drug combination and the hospitalization event, and a third OR between a third drug combination and the hospitalization event according to a plurality of medical records; generating a first fraction corresponding to a first drug according to the second OR; generating a second fraction corresponding to a second drug according to the third OR; and outputting the first drug combination in response to the first OR being greater than a first threshold, a sum of the first fraction and the second fraction being greater than a second threshold, and a quotient of the first fraction and the second fraction being less than a third threshold.

Abstract: A medication risk evaluation method and a medication risk evaluation device are provided. The medication risk evaluation method includes: obtaining first medication route information related to a first medicine combination in a medication database; obtaining second medication route information related to a second medicine combination in the medication database; obtaining overlapping medication information between the first medication route information and the second medication route information; determining whether the overlapping medication information meets a noise exclusion condition; and if the overlapping medication information meets the noise exclusion condition, establishing a risk evaluation model based on other medication route information in the medication database excluding the first medication route information, where the risk evaluation model is adapted to evaluate a risk of using at least one medicine in the medication database.

Abstract: A method for calculating a high risk route of administration is provided. Multiple arrangement routes composed of every two medicines among multiple medicines included in a medical record database are listed. A risk value of each arrangement route is calculated by querying the medical record database based on a specified medication result. A risk score of each arrangement route is calculated according to the risk value, and the arrangement routes are sorted based on the risk scores. Starting from the arrangement route with the highest risk score, N arrangement routes are retrieved and a combination on N of the arrangement routes is performed to obtain multiple strung routes. The number of medicines included in each strung route matches a specified medication number.

Abstract: A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: A disease suffering probability prediction method and an electronic apparatus are provided. The method includes: determining a path length; obtaining a plurality of first paths conforming to the path length from a plurality of history data of a specific disease; obtaining a plurality of second paths positively related to the specific disease from the plurality of first paths; filtering the plurality of second paths to obtain a plurality of third paths, and establishing a prediction model according to the plurality of third paths; and inputting a path to be predicted to the prediction model and outputting a probability of suffering the specific disease.

Abstract: A statistical performance evaluation method for different grouping sets includes setting a plurality of first grouping ranges of a first grouping set corresponding to a sample space, setting a plurality of second grouping ranges of a second grouping set corresponding to the sample space, generating a plurality of first probability values and a plurality of first standard deviations corresponding to the plurality of first grouping ranges at each sampling time according to the sample space, generating a plurality of second probability values and a plurality of second standard deviations corresponding to the plurality of second grouping ranges at the each sampling time according to the sample space, and generating a plurality of statistical indicators corresponding to the first grouping set and the second grouping set and outputting a statistical performance ranking result of the first grouping set and the second grouping set accordingly.

Abstract: A cellular station including a wireless transceiver and a controller is provided. The wireless transceiver performs wireless transmission and reception to and from a mobile communication device. The controller receives an RRC (Radio Resource Control) Connection Setup Complete message including CIoT data from the mobile communication device via the wireless transceiver, buffers the CIoT data and inquires a Mobility Management Entity (MME) about information of a Serving Gateway (S-GW) in response to receiving the RRC Connection Setup Complete message, and sends the CIoT data to the S-GW according to the inquired information of the S-GW.

Abstract: A method of predicting passenger demand includes obtaining a plurality of affecting factors; obtaining a basic passenger demand corresponding to a geographical area at a specific time period; computing at least one first type predicted demands according to the plurality of affecting factors and the basic passenger demand; selecting at least one important affecting factor from the plurality of affecting factors, and computing at least one second type predicted demand according to the at least one important affecting factor; and computing a combined predicted passenger demand according to the first predicted passenger demand and the second predicted passenger demand.

Abstract: A method, a server, and a computer-readable recording medium for ride hotspot prediction are provided. The method is applicable to the server and includes the following steps. First, multiple pieces of ride data are obtained, wherein each piece of the ride data includes data respectively associated with candidate factors and a ride spot. Next, data clustering is performed on the ride data according to different regions. At least one positively-related factor which has a positive relation with crowds is selected from the candidate factors by using the ride data for each of the regions to accordingly calculate and generate hotspots in each of the regions.

Abstract: The disclosure proposes a method of delivering data applicable to a base station and a base station using the same method. According to one of the exemplary embodiments, the method of delivering data would include not limited to: receiving a service request for an uplink transmission; determining, locally, a quality of service (QoS) parameter, in response to receiving the service request for the uplink transmission; establishing a radio bearer by applying the QoS parameter; receiving a data of the uplink transmission via the radio bearer; buffering the data of the uplink transmission; and transmitting the data.

Abstract: In a wireless communication system, when receiving a START DTMF message with an ITR indicator from a transmitting device, a network is configured to send a START DTMF ACK message to the transmitting device. After adjusting its settings and entering a text receiving mode, the transmitting device is configured to send a CONFIRM START DTMF TXT message to the network. The network is configured to send keypad information associated with the number of a receiving device to the receiving device. The receiving device is configured to send the corresponding text message to the network, which then forwards the text message to the transmitting device.

Abstract: In a wireless communication system, an IOPS-capable user equipment is registered on both a normal PLMN and an IOPS PLMN. The user equipment is configured to set one of the first PLMN and the second PLMN as a primary PLMN and the other one of the first PLMN and the second PLMN as a secondary PLMN randomly, according to an MO PLMN preference provided by a user of the user equipment, or according to a dialing history of the user equipment. Therefore, PLMN precedence can be provided for the user equipment in the IOPS dual PLMN mode of operation to make MO calls.

Abstract: A method of performing proximity discovery for a network entity and a user equipment (UE). In one of the exemplary embodiments, this disclosure is directed to a generating method that is applicable to a network entity and includes at least but not limited to receiving a discovery request message comprising a ProSe application identifier (ID) and a UE identity, obtaining a discover code for performing the proximity discovery according to a target group of the UE identity, and transmitting a discovery response message comprising the discovery code in response to the discovery request message. The ProSe application ID indicates the target group of the UE identity.

Abstract: A mobile communication device configured for CIoT is provided. The mobile communication device includes a wireless transceiver and a controller. The wireless transceiver performs wireless transmission and reception to and from a service network. The controller transmits, via the wireless transceiver, a request message to the service network for changing a UE usage type, receives a response message comprising a wait timer value from the service network via the wireless transceiver, and does not transmit another request message to the service network for changing the UE usage type before the wait timer expires.

Abstract: A wireless communication system includes an LOPS-capable user equipment, an LOPS-mode eNB and a normal-mode eNB. When the user equipment is under the coverage of both the LOPS-mode eNB and the normal-mode eNB, the user equipment is configured to perform automatic PLMN by registering on both the IOPS-mode eNB and the normal-mode eNB so as to maintain both normal-mode communications and IOPS mode communications.

Abstract: In a wireless communication system, when receiving a START DTMF message with an ITR indicator from a transmitting device, a network is configured to send a START DTMF ACK message to the transmitting device. After adjusting its settings and entering a text receiving mode, the transmitting device is configured to send a CONFIRM START DTMF TXT message to the network. The network is configured to send keypad information associated with the number of a receiving device to the receiving device. The receiving device is configured to send the corresponding text message to the network, which then forwards the text message to the transmitting device.

Abstract: A Serving GPRS Support Node (SGSN) including a controller and a non-transitory computer readable storage medium is provided. The non-transitory computer readable storage medium stores instructions which, when executed by the controller, cause the controller to perform steps including: receiving a signaling request message from a mobile communication device via an access network, determining whether the mobile communication device operates in an idle mode with Extended Discontinuous Reception (EDRX) and whether there is any Mobile Terminated (MT) Short Message (SM) pending for the mobile communication device, in response to receiving the signaling request message, and transmitting a signaling response message indicating the pending of the MT SM to the mobile communication device via the access network in response to the mobile communication device being configured to operate in the idle mode with EDRX and there being at least one MT SM pending for the mobile communication device.

Abstract: A method of generating discovery code for a network entity and a network entity using the same method are provided. In one of the exemplary embodiments, this disclosure is directed to a generating method that is applicable to a network entity and includes at least but not limited to selecting a first substring in a ProSe application code of an announcing UE and a second substring in a ProSe application code of a monitoring UE for a D2D discovery, generating a matching string and a non-matching string according to the first substring and the second substring, and generating a ProSe application mask according to the matching string and the non-matching string.

Abstract: A mobile communication device configured for CIoT is provided. The mobile communication device includes a wireless transceiver and a controller. The wireless transceiver performs wireless transmission and reception to and from a service network. The controller transmits, via the wireless transceiver, a request message to the service network for changing a UE usage type, receives a response message comprising a wait timer value from the service network via the wireless transceiver, and does not transmit another request message to the service network for changing the UE usage type before the wait timer expires.

Abstract: A Serving GPRS Support Node (SGSN) including a controller and a non-transitory computer readable storage medium is provided. The non-transitory computer readable storage medium stores instructions which, when executed by the controller, cause the controller to perform steps including: receiving a signaling request message from a mobile communication device via an access network, determining whether the mobile communication device operates in an idle mode with Extended Discontinuous Reception (EDRX) and whether there is any Mobile Terminated (MT) Short Message (SM) pending for the mobile communication device, in response to receiving the signaling request message, and transmitting a signaling response message indicating the pending of the MT SM to the mobile communication device via the access network in response to the mobile communication device being configured to operate in the idle mode with EDRX and there being at least one MT SM pending for the mobile communication device.