International Business Machines Corporation

Kyndryl, Inc.

Marcia Ito

Julio Nogima

Ademir Ferreira Da Silva

Marco A S Netto

Sergio Borger

Vagner F D Santana

Ana Paula Appel

Sergio Varga

Percival Silva De Lucena

Livy Maria Real Coelho

Maysa Malfiza Garcia De Macedo

Gabriel Do Nascimento Ribeiro

Fabio Rezende De Souza

Maria Clara Verçosa Da Silva Rodrigues

Claudio Keiji Iwata

Isabel Carolina Zorzi De Miranda

The exemplary embodiments disclose a method, a computer program product, and a computer system for determining a duration of use left in an oxygen tank. The exemplary embodiments may include collecting data of a user and corresponding oxygen tank, extracting one or more features from the collected data, and determining a duration of use left in the oxygen tank based on the extracted one or more features and one or more models.

Oxygen tank duration of use

Methods and systems for outputting an engagement communicative strategy are described. In an example, a processor may train a communicative model using a patient authored text corpus. The processor may generate at least one patient profile based on the patient authored text corpus and patient authored health data. The processor may construct a knowledge based system based on the communicative model and the at least one patient profile. The processor may input a patient profile of the entity, an engagement degree, and an engagement score to the knowledge based system. The processor may execute the knowledge based system to determine the engagement communicative strategy, and may output the engagement communicative strategy. The engagement communicative strategy may specify a communication scheme to communicate with the entity.

Patient engagement communicative strategy recommendation

A method includes loading a software application onto a data capture device of a subject, collecting electronic texts of a subject from a plurality of computer storage devices across the Internet, including electronic text generated by the data capture device, identifying, from the electronic texts, one or more perceptions held by the subject, generating a classification for each of the perceptions, wherein at least one of the perceptions is classified as a negative perception, defining an engagement degree of the subject with a current engagement model using the classifications of the perceptions, analyzing the negative perception, and defining a score for each of a plurality of strategies of engagement, wherein at least one strategy is selected, using the scores, for application to the subject, and the application of a selected strategy includes transmitting configuration data to the data capture device of the subject, the configuration data updates the software application.

Measurement, analysis and application of patient engagement

An example operation may include one or more of receiving, by an administrator node, a transaction request from a user node over a blockchain, activating, by the administrator node, a smart contract that corresponds to the transaction request, acquiring, by the administrator node, parameters from an oracle node based on the smart contract, modifying, by the administrator node, the smart contract based on the parameters, and executing, by the administrator node, the modified smart contract to commit the requested transaction to the blockchain.

Flexible transaction validation

An automated feedback may be provided while data is entered in an electronic form. Input entered into an input field of a form fillable window provided on a user interface display screen may be detected. A quality measure associated with the input as entered into the form fillable window may be determined. The quality measure is determined based on a quality needed for an analytics process of an application for which the input is being entered. A graphical indication representing the quality measure on the user interface display screen may be presented.

Providing data quality feedback while end users enter data in electronic forms

A system to measure effectiveness of displayed content includes a video processing service configured to receive and process a stream of video images captured by one or more video cameras, a display application service configured to produce display content to be displayed on one or more display monitors and to capture user interactions with the displayed content, and a display effectiveness service configured to correlate data received from the video processing service and the display application service and generate a display effectiveness measurement that is a measure of an effectiveness of the displayed content for specific periods of time.

Measuring display effectiveness with interactive asynchronous applications

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Sao Paulo, Brazil

Marcia Ito