Blar i Bergen Open Research Archive på forfatter "Babic, Ankica"
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A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods
Gharehbaghi, Arash; Babic, Ankica (Journal article; Peer reviewed, 2022)This paper presents an original method for studying the performance of the supervised Machine Learning (ML) methods, the A-Test method. The method offers the possibility of investigating the structural risk as well as the ... -
Assessment of HIV Data Reporting Performance by Facilities During EMR Systems Implementations in Kenya
Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (Journal article; Peer reviewed, 2020)There is little evidence that implementations of Electronic Medical Record Systems (EMRs) are associated with better reporting completeness and timeliness of HIV routine data to the national aggregate system. We analyzed ... -
Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya
Gesicho, Milka Bochere; Were, Martin C; Babic, Ankica (Journal article; Peer reviewed, 2020)Background The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure ... -
Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography
Gharehbaghi, Arash; Babic, Ankica (Journal article; Peer reviewed, 2022)This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network ... -
Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya
Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2022)Health management information systems implemented in low-and middle-income countries (LMICs) have provided availability of HIV-data. As such, dashboards have become increasingly popular as they provide a potentially powerful ... -
Development of standard indicators to assess use of electronic health record systems implemented in low-and medium-income countries
Ngugi, Philomena Njeri; Babic, Ankica; Kariuki, James; Santas, Xenophon; Naanyu, Violet; Were, Martin C. (Journal article; Peer reviewed, 2021-01-11)Background: Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique ... -
Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography
Gharehbaghi, Arash; Sepehri, Amir A; Babic, Ankica (Journal article; Peer reviewed, 2020)This paper presents an original machine learning method for extracting diagnostic medical information from heart sound recordings. The method is proposed to be integrated with an intelligent phonocardiography in order to ... -
Evaluating performance of health care facilities at meeting HIV-indicator reporting requirements in Kenya: an application of K-means clustering algorithm
Gesicho, Milka Bochere; Were, Martin C; Babic, Ankica (Journal article; Peer reviewed, 2021)Background: The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradication. ... -
Health Facility Ownership Type and Performance on HIV Indicator Data Reporting in Kenya
Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C (Journal article; Peer reviewed, 2020)In low- and middle-income countries, private and public facilities tend to have highly variable characteristics, which might affect their performance in meeting reporting requirements mandated by ministries of health. There ... -
High-fidelity prototyping for mobile electronic data collection forms through design and user evaluation
Mugisha, Alice; Babic, Ankica; Wakholi, Peter; Tylleskär, Thorkild (Peer reviewed; Journal article, 2019)Background: Mobile data collection systems are often difficult to use for nontechnical or novice users. This can be attributed to the fact that developers of such tools do not adequately involve end users in the design and ... -
Identifying barriers and facilitators in HIV-indicator reporting for different health facility performances: A qualitative case study
Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2021)Identifying barriers and facilitators in HIV-indicator reporting contributes to strengthening HIV monitoring and evaluation efforts by acknowledging contributors to success, as well as identifying weaknesses within the ... -
Impact of Electronic Medical Records Systems in Reporting HIV Health Data Indicators in Kenya
Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2022)Electronic Medical Records Systems (EMRs) improve the quality of patient care and reduce medical errors. Nevertheless, their role in health data indicator reporting performance is unclear. We assessed reporting completeness ... -
Information Platform for Antibiotics
Thormodsen, Marcus Sannes; Babic, Ankica (Journal article; Peer reviewed, 2024)There is a global shortage of personnel in the healthcare workforce, a situation which seems unlikely to improve in the foreseeable future, and it is vital that approaches and innovations are found to mitigate the negative ... -
Information Technologies for Cognitive Decline
Farsirotos, Gina; Babic, Ankica (Studies in Health Technology and Informatics;295, Chapter, 2022)Information technology (IT) is used to establish diagnosis and provide treatments for people with cognitive decline. The condition affects many before it becomes clear that more permanent changes, like dementia, could be ... -
Integrating Socially Assistive Robots into Japanese Nursing Care
Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica; Nishihara, Yoko (Journal article; Peer reviewed, 2020)This paper presents experiences of integrating assistive robots in Japanese nursing care through semi-structured interviews and site observations at three nursing homes in Japan during the year 2019. The study looked at ... -
Integrating Socially Assistive Robots into Japanese Nursing Care
Kolstad, Markus; Yamaguchi, Natsu; Babic, Ankica; Nishihara, Yoko (Journal article; Peer reviewed, 2020)This paper presents experiences of integrating assistive robots in Japanese nursing care through semi-structured interviews and site observations at three nursing homes in Japan during the spring of 2019. The study looked ... -
Intellicor: Mobile Design for Monitoring Phonographic Signals
Jakobsen, Malin Wist; Babic, Ankica (Journal article; Peer reviewed, 2022)A mobile and web-based prototype was developed to explore utility of heart sound data in the context of patient self-monitoring. There are not many applications available despite measurement equipment that can be purchased. ... -
K-Means Clustering in Monitoring Facility Reporting of HIV Indicator Data: Case of Kenya
Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. (Journal article; Peer reviewed, 2020)Health management information systems (HMISs) in low- and middle-income countries have been used to collect large amounts of data after years of implementation, especially in support of HIV care services. National-level ... -
A multivariate statistical evaluation of actual use of electronic health record systems implementations in Kenya
Ngugi, Philomena Njeri; Babic, Ankica; Were, Martin C. (Journal article; Peer reviewed, 2021)Background Health facilities in developing countries are increasingly adopting Electronic Health Records systems (EHRs) to support healthcare processes. However, only limited studies are available that assess the actual ... -
Parralel Recurrent Convolutional Neural Network for Abnormal Heart Sound Classification
Gharehbaghi, Arash; Partovi, Elaheh; Babic, Ankica (Journal article; Peer reviewed, 2023)This paper presents the results of a study performed on Parallel Convolutional Neural Network (PCNN) toward detecting heart abnormalities from the heart sound signals. The PCNN preserves dynamic contents of the signal in ...