Artificial Intelligence Trends in Systems
Springer International Publishing
Chapter title |
Predicting HIV Status Using Machine Learning Techniques and Bio-Behavioural Data from the Zimbabwe Population-Based HIV Impact Assessment (ZIMPHIA15-16)
|
---|---|
Chapter number | 24 |
Book title |
Artificial Intelligence Trends in Systems
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-09076-9_24 |
Book ISBNs |
978-3-03-109075-2, 978-3-03-109076-9
|
Authors |
Chingombe, Innocent, Musuka, Godfrey, Mbunge, Elliot, Chemhaka, Garikayi, Cuadros, Diego F., Murewanhema, Grant, Chaputsira, Simbarashe, Batani, John, Muchemwa, Benhildah, Mapingure, Munyaradzi P., Dzinamarira, Tafadzwa |
Country | Count | As % |
---|---|---|
Zimbabwe | 2 | 40% |
United Kingdom | 1 | 20% |
Unknown | 2 | 40% |
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Student > Master | 1 | 7% |
Researcher | 1 | 7% |
Other | 0 | 0% |
Unknown | 8 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Computer Science | 1 | 7% |
Decision Sciences | 1 | 7% |
Social Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 9 | 64% |