Corrigendum to "IoT application for energy poverty detection based on thermal comfort monitoring" [Heliyon 9 (1) (January 2023) Article e12943].

[This corrects the article DOI: 10.1016/j.heliyon.

Iot application for energy poverty detection based on thermal comfort monitoring.

The development of a datalogger for identifying Energy Poverty (EP) using thermal comfort monitoring is described in this work. There is not a uniform definition of EP, and no global recommendations indicating the thermal comfort characteristics that should be utilized to identify EP. Most Internet of Things (IoT)-based systems designed for EP identification measure energy consumptions (electricity and gas).

Exploring convolutional neural networks for drug-drug interaction extraction.

Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of reducing the time spent reviewing the literature for potential DDIs. The current state-of-the-art for the extraction of DDIs is based on feature-engineering algorithms (such as support vector machines), which usually require considerable time and effort.