Mobile Peer Support in Diabetes. - Taridzo Chomutare; Eirik Årsand; Gunnar Hartvigsen (MIE, 2011)

Temporal Community Structure Patterns in Diabetes Social Networks. - Taridzo Chomutare; Eirik Årsand; Gunnar Hartvigsen (ASONAM, 2012)

Social Media and Games as Self-management Tools for Children and Adolescents with Type 1 Diabetes Mellitus. - J. Lauritzen; Eirik Årsand; Alexander Horsch; Luis Fernández-Luque; Taridzo Chomutare; Johan Gustav Bellika; Ole K. Hejlesen; Gunnar Hartvigsen (HEALTHINF, 2012)

Designing a diabetes mobile application with social network support. - Taridzo Chomutare; Naoe Tatara; Eirik Årsand; Gunnar Hartvigsen (HIC, 2013)

Characterizing development patterns of health-care social networks. - Taridzo Chomutare; Eirik Årsand; Gunnar Hartvigsen (Netw. Model. Anal. Health Informatics Bioinform., 2013)

Patient similarity using network structure properties in online communities. - Taridzo Chomutare (BHI, 2014)

Social Network Analysis to Delineate Interaction Patterns That Predict Weight Loss Performance. - Taridzo Chomutare; Anna Xu; M. Sriram Iyengar (CBMS, 2014)

Text Classification to Automatically Identify Online Patients Vulnerable to Depression. - Taridzo Chomutare (MindCare, 2014)

Systematic Review of Behavioral Obesity Interventions and Their Persuasive Qualities. - Anna Xu; Taridzo Chomutare; M. Sriram Iyengar (PERSUASIVE, 2014)

Mining Symptoms of Severe Mood Disorders in Large Internet Communities. - Taridzo Chomutare; Eirik Årsand; Gunnar Hartvigsen (CBMS, 2015)

Play and Learn: Developing a Social Game for Children with Diabetes. - Taridzo Chomutare; Svein-Gunnar Johansen; Eirik Årsand; Gunnar Hartvigsen (ICIMTH, 2016)

Serious Game Co-Design for Children with Type 1 Diabetes. - Taridzo Chomutare; Svein-Gunnar Johansen; Gunnar Hartvigsen; Eirik Årsand (ICIMTH, 2016)

Effectiveness of an Internet Community for Severely Obese Women. - Taridzo Chomutare; Eirik Årsand; Gunnar Hartvigsen (Nursing Informatics, 2016)

Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text. - Hanna Berg; Taridzo Chomutare; Hercules Dalianis (LOUHI@EMNLP, 2019)

Healthcare and data privacy requirements for e-health cloud: A qualitative analysis of clinician perspectives. - Taridzo Chomutare; Kassaye Yitbarek Yigzaw; Sílvia Delgado Olabarriaga; Alexandra Makhlysheva; Marcela Tuler de Oliveira; Line Silsand; Dagmar Krefting; Thomas Penzel; Christiaan Hillen; Johan Gustav Bellika (HealthCom, 2020)

De-Identifying Swedish EHR Text Using Public Resources in the General Domain. - Taridzo Chomutare; Kassaye Yitbarek Yigzaw; Andrius Budrionis; Alexandra Makhlysheva; Fred Godtliebsen; Hercules Dalianis (MIE, 2020)

Clinical Notes De-Identification: Scoping Recent Benchmarks for n2c2 Datasets. - Taridzo Chomutare (ICIMTH, 2021)

Combining deep learning and fuzzy logic to predict rare ICD-10 codes from clinical notes. - Taridzo Chomutare; Andrius Budrionis; Hercules Dalianis (ICDH, 2022)

Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development. - Hanna von Gerich; Taridzo Chomutare; Laura-Maria Peltonen (Nursing Informatics, 2024)

Implementing a Nordic-Baltic Federated Health Data Network: a case report. - Taridzo Chomutare; Aleksandar Babic; Laura-Maria Peltonen; Silja Elunurm; Peter Lundberg; Arne Jönsson; Emma Eneling; Ciprian-Virgil Gerstenberger; Troels Siggaard; Raivo Kolde; Oskar Jerdhaf; Martin Hansson; et al. (CoRR, 2024)

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial. - Taridzo Chomutare; Therese Olsen Svenning; Miguel Angel Tejedor Hernandez; Phuong Dinh Ngo; Andrius Budrionis; Kaisa Markljung; Lill Irene Hind; Torbjørn Torsvik; Karl Øyvind Mikalsen; Aleksandar Babic; Hercules Dalianis (CoRR, 2024)

A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. - Luis Marco-Ruiz; Miguel Angel Tejedor Hernandez; Phuong Dinh Ngo; Alexandra Makhlysheva; Therese Olsen Svenning; Kari Dyb; Taridzo Chomutare; Carlos Fernández-Llatas; Jorge Muñoz-Gama; Maryam Tayefi (Int. J. Medical Informatics, 2024)