Goran Nenadic

Senior lecturer

The University of Manchester

United Kingdom

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About

Goran Nenadic is a Senior Lecturer at the University of Manchester, UK. His research areas include health informatics, epidemiological criminology, and mental health classification, with a focus on leveraging text mining and natural language processing techniques. He has authored several recent articles, including studies on population characteristics in health research and the integration of social media in diabetes management.

Articles (15)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (17)

Josiah Poon

University of Sydney

AUSTRALIA

Goran Nenadic

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Articles (15)

Experiences and Views of Young People and Health Care Professionals of Using Social Media to Self-Manage Type 1 Diabetes Mellitus: Thematic Synthesis of Qualitative Studies

Population characteristics in justice health research based on PubMed abstracts from 1963 to 2023: text mining study (Preprint)

MM-EMOG: Multi-Label Emotion Graph Representation for Mental Health Classification on Social Media

DiscHPO: Generative Models and Sentence Transformers for the Recognition and Normalisation of Continuous and Discontinuous Phenotype Mentions (Preprint)

C anton MT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation

Automatic extraction of research themes in epidemiological criminology from PubMed abstracts from 1946 to 2020: text mining study (Preprint)

“Take up to eight tablets per day”: Incorporating free‐text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology

Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders

An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study

Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study

Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study

Extracting Drug Names and Associated Attributes From Discharge Summaries: Text Mining Study

A Social Media Campaign (#datasaveslives) to Promote the Benefits of Using Health Data for Research Purposes: Mixed Methods Analysis

Prevalence of Mental Illnesses in Domestic Violence Police Records: Text Mining Study

Toward the Development of Data Governance Standards for Using Clinical Free-Text Data in Health Research: Position Paper

Collaborators (17)

Josiah Poon

John C Morris

Tony Butler

Kerina Jones

richard dobson

William Dixon

Nathan Lea

Elizabeth Ford

David M. Greenberg

David Selby

Meghna Jani

Anoop Dinesh Shah

Sally Giles

soyeonh han

Stephen M. Campbell

Areej Alhassan

Mark Lunt

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