Abstract: A method for exchanging healthcare information includes using a healthcare informatics system to obtain first medical information that is encoded in accordance with a first coding scheme and providing a first cryptographic key to a patient device after receiving a request from the patient device for keys to be used to encrypt the first medical information. The first medical information and the first cryptographic key may be encoded in an optical code that is displayed for capture by a clinician device. Responsive to a request from the clinician device, a mapping may be used to translate the first medical information to obtain second medical information that is encoded in accordance with a second coding scheme. The second medical information may be provided to the clinician device.

Abstract: A method, an apparatus, and a system for exchanging medical information. A portable computing device uniquely associated with a user may communicate the medical information to a healthcare provider. The medical information may be combined with other information and electronically delivered to the healthcare provider. Delivery may be initiated by the portable computing device and directed to a computing device of a healthcare provider or patient. In one example, exchange of records and other information between the user and the provider can be effected using an optical code to transmit encrypted, coded medical information together with cryptographic keys necessary to extract the coded medical information. The coded medical information may be automatically remapped and/or translated according to a state, country, region and/or language associated with the healthcare provider or patient.

Abstract: Email senders may transmit emails over the internet to a mail server that handles emails for a plurality of users (clients). The mail server may use a spam filter to remove the spam and then transmit the filtered emails to the addressed clients. The spam filter may use a white list, black list, probability filter and keyword filter. The probability filter may use a user mail corpus and a user spam corpus for creating a user probability table that lists tokens and the probability that an email is a spam if the email contains the token. The probability filter may also use a general mail corpus and a general spam corpus for creating a general probability table that. Tokens of incoming emails may be searched for in the user probability table, and if not found, the general probability table to calculate the probability that the email is a spam.

Abstract: Email senders may transmit emails over the internet to a mail server that handles emails for a plurality of users (clients). The mail server may use a spam filter to remove the spam and then transmit the filtered emails to the addressed clients. The spam filter may use a white list, black list, probability filter and keyword filter. The probability filter may use a user mail corpus and a user spam corpus for creating a user probability table that lists tokens and the probability that an email is a spam if the email contains the token. The probability filter may also use a general mail corpus and a general spam corpus for creating a general probability table that. Tokens of incoming emails may be searched for in the user probability table, and if not found, the general probability table to calculate the probability that the email is a spam.

Abstract: Email senders may transmit emails over the internet to a mail server that handles emails for a plurality of users (clients). The mail server may use a spam filter to remove the spam and then transmit the filtered emails to the addressed clients. The spam filter may use a white list, black list, probability filter and keyword filter. The probability filter may use a user mail corpus and a user spam corpus for creating a user probability table that lists tokens and the probability that an email is a spam if the email contains the token. The probability filter may also use a general mail corpus and a general spam corpus for creating a general probability table that. Tokens of incoming emails may be searched for in the user probability table, and if not found, the general probability table to calculate the probability that the email is a spam.