Abstract: An alarm system an alarm method for a medical emergency are provided. The alarm method includes: obtaining a physiological signal of a user by a sensor of a portable electronic device; receiving the physiological signal from the portable electronic device, determining whether an abnormal event has occurred according to the physiological signal, and transmitting first feedback information corresponding to the physiological signal to a server in response to the abnormal event by the terminal device; and outputting an alarm message according to the first feedback information by the server.

Abstract: A device and method for generating article markup information are provided. The method for generating article markup information includes the following. Segmentation processing is performed on an article to generate a segmentation result. Name entity recognition is performed on the segmentation result to generate a first recognition result. Whether the segmentation result includes any word in an expansion list is determined. Expanded entity classification conversion is performed on the first recognition result to generate a second recognition result. The second recognition result and the segmentation result are used as markup information.

Abstract: An electronic device and a method for diagnosing heart state based on electrocardiogram (ECG) are provided. An ECG file is obtained, and the ECG file is in a first file format and includes a plurality of potential traces of a plurality of leads. The ECG file is converted to a second file format to obtain electrocardiogram data corresponding to multiple leads. Each potential trace relative to time in the ECG file is converted to the ECG data of each lead. Integrated ECG data associated with the leads is generated based on the ECG data of the plurality of leads through the zero-padding operation and the stacking operation. A diagnostic result of heart status is generated based on the integrated ECG data and a deep learning model.

Abstract: A teammate recommendation method for a multiplayer online game is proposed. The teammate recommendation method includes the steps of: determining one or more characteristic values for each of a plurality of players based on past game performance information of the players; dividing the players into a plurality of groups based on the characteristic values of the players; determining a Key Performance Indicator (KPI) for each of a plurality of combinations of the groups based on teammate information and team ranking of each game in the past game performance information; selecting one of the combinations, which includes a first group that the first player belongs to, based on the KPIs of the combinations; and recommending one or more second players based on the selected combination.

Abstract: A device and method for generating article markup information are provided. The method for generating article markup information includes the following. Segmentation processing is performed on an article to generate a segmentation result. Name entity recognition is performed on the segmentation result to generate a first recognition result. Whether the segmentation result includes any word in an expansion list is determined. Expanded entity classification conversion is performed on the first recognition result to generate a second recognition result. The second recognition result and the segmentation result are used as markup information.

Abstract: A teammate recommendation method for a multiplayer online game is proposed. The teammate recommendation method includes the steps of: determining one or more characteristic values for each of a plurality of players based on past game performance information of the players; dividing the players into a plurality of groups based on the characteristic values of the players; determining a Key Performance Indicator (KPI) for each of a plurality of combinations of the groups based on teammate information and team ranking of each game in the past game performance information; selecting one of the combinations, which includes a first group that the first player belongs to, based on the KPIs of the combinations; and recommending one or more second players based on the selected combination.

Abstract: A method and a system for recommending a teammate for a team game are provided. The method includes the following: searching game data, where the game data includes a plurality of game evaluation parameters; choosing a target parameter from the game evaluation parameters, where a correlation between the target parameter and at least one game experience index is greater than a correlation between remaining parameters and the at least one game experience index; automatically selecting a target role position according to the target parameter and a first game role position of a chosen game role; automatically selecting a target game role according to the target role position; and recommending a player to be teamed up who plans to use the target game role to play the game as a teammate according to the target game role.

Abstract: A method and a system for recommending a teammate for a team game are provided. The method includes the following: searching game data, where the game data includes a plurality of game evaluation parameters; choosing a target parameter from the game evaluation parameters, where a correlation between the target parameter and at least one game experience index is greater than a correlation between remaining parameters and the at least one game experience index; automatically selecting a target role position according to the target parameter and a first game role position of a chosen game role; automatically selecting a target game role according to the target role position; and recommending a player to be teamed up who plans to use the target game role to play the game as a teammate according to the target game role.