Open Data

A list of the different open data sets developed by our team is given below.

AI4NTD KK2.0 P1.5 STH & SCHm Dataset

Dataset for detecting Soil-Transmitted Helminths and Schistosoma mansoni eggs in Kato-Katz smears

Soil-transmitted helminth infections are caused by different species, also known as roundworms, whipworms, and hookworms. Approximately 1.5 billion people are infected with soil-transmitted helminths worldwide, and infected children are nutritionally and physically impaired. Worms are transmitted by eggs present in human faeces, which contaminate the soil in areas where sanitation is poor.

The global targets to eliminate soil transmitted helminthiasis morbidity depends on the accurate assessment of the prevalence and intensities of infections in the populations. The 2030 WHO roadmap outlines a goal to eliminate STH and SCH infections as a public health problem by 2030.

To support and accelerate this roadmap we have been developing a low-cost slide scanner to digitalise Kato-Katz stool thick smears. Using the scanner we have collected and annotated a substantial dataset of four helminth eggs.

Data Analytics for Health and Connected Care

Data Analytics in Health and Connected Care (DAHCC) resembles both the way and the data to describe the connected care applications, the used sensors to create such care applications together with their link to the people who are involved by or with those care applications (e.g. patients, healthcare professionals etc.).

The DAHCC resource exists out of 3 main components:

  • A large dataset of daily life activities, bot provided in raw and knowledge graph format.
  • The DAHCC Ontology capturing care, patient, daily life activity recognition and lifestyle domain knowledge.
  • Connected Care Applications which shows the potential of combining data with ontological meta-data.