Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation by Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert

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A large-scale risk assessment and classification model for pneumococcus using Finnish national health data by Viljami Männikkö, Juha Turunen, Heidi Åhman, Esa Harju

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Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence by Camran R. Nezhat, Tomiko T. Oskotsky, Joshua F. Robinson, Susan J. Fisher, Angie Tsuei, Binya Liu, Juan C. Irwin, Brice Gaudilliere, Marina Sirota, David K. Stevenson, Linda C. Giudice

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Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review. by Kenneth Eugene Paik, Rachel Hicklen, Fred Kaggwa, Corinna Victoria Puyat, Luis Filipe Nakayama, Bradley Ashley Ong, Jeremey N I Shropshire, Cleva Villanueva

“…Health data poverty is often an unseen factor which leads to perpetuating or exacerbating health disparities. …”
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Predictions for 2025: Artificial Intelligence in Modern Drug Development, Quantum Proof Encryption, and Health Data Monetization by Ingrid Vasiliu-Feltes MD, EMBA, Jennifer Hinkel, MSc, CHW, FRSA, Olga Kubassova, PhD

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Investigating Parkinson’s disease risk across farming activities using data mining and large-scale administrative health data by Pascal Petit, François Berger, Vincent Bonneterre, Nicolas Vuillerme

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Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal by Fatoumata Binetou Diongue, Adama Faye, Cheikh Loucoubar, Ndèye Marème Sougou, Ibrahima Sy, Adama Tall, Youssoupha Ndiaye, Samba Cor Sarr

“…Summary Introduction In Senegal, the Routine Health Information System (RHIS) captures the majority of data from the Ministry of Health and Social Action (MHSA) public structures and very little health data from the private sector and other ministerial departments. …”
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Retracted: Characteristics Analysis of Mental Health Data of College Students Based on Convolutional Neural Network and TOPSIS Evaluation Model by Discrete Dynamics in Nature and Society

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Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014) by Elma Dervić, Katharina Ledebur, Stefan Thurner, Peter Klimek

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INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

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Harmonizing population health data into OMOP common data model: a demonstration using COVID-19 sero-surveillance data from Nairobi Urban Health and Demographic Surveillance System by Michael Ochola, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, David Amadi, Maureen Ng’etich, Damazo Kadengye, Henry Owoko, Boniface Igumba, Jay Greenfield, Jim Todd, Agnes Kiragga, Agnes Kiragga

Subjects: “…observational health data…”
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Digital health data security practices among health professionals in low-resource settings: cross-sectional study in Amhara Region, Ethiopia by Ayenew Sisay Gebeyew, Wondwossen Zemene, Binyam Chaklu Tilahun, Nebyu Demeke Mengestie, Berhanu Fikade Endehabtu, Zegeye Regasa Wordofa, Mitiku Kassaw Takillo, Gedefaw Belete Ashagrie, Melaku Molla Sisay

“…Abstract Introduction Protecting digital health data from unauthorized access, alteration, and destruction is a crucial aspect of healthcare digitalization. …”
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Characterising melanoma diagnostic pathways for patients in routine practice using administrative health data in Ontario, Canada: a population-based study by Frances C Wright, Timothy P Hanna, Patti A Groome, Nicole J Look Hong, Meaghan E Mavor, Yuka Asai, Hugh Langley

“…Objective To characterise diagnostic pathways for patients with melanoma in routine practice and compare patient, disease and diagnostic interval (DI) characteristics across pathways.Design Descriptive cross-sectional study using administrative health data.Setting Population-based study in Ontario, Canada.Participants Patients with melanoma diagnosed from 2007 to 2019.Main outcome measures We used latent class cluster analysis to create clusters of patients with similar diagnostic experiences to characterise diagnostic pathways in routine practice. …”
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Quality assessment of fish vaccine data in the Norwegian Veterinary Prescription Register (VetReg) by Trishang Udhwani, Katharine R. Dean, Ingunn Sommerset, Kari Olli Helgesen

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Association of ambient air pollutants with blood physiological and biochemical indicators and systemic immune inflammation index in people living around Beijing: an analysis of air pollution and population health data by Bingqian DU, Zhiqiang REN, Peian CHEN, Zhenjun LI

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Migrant Health Country Profile tool (MHCP-t) for transforming health data collection and surveillance in the Middle East and North African (MENA) region: tool development protocol with embedded process evaluation by Farah Seedat, Bouchra Assarag, Kolitha Wickramage, Sally Hargreaves, Ana Requena-Mendez, Dominik Zenner, Anna Deal, Stella Evangelidou, Oumnia Bouaddi, Moudrick Abdellatifi, Hassan Edries, Eman Elafef, Taha Maatoug, Anissa Ouahchi, Sara Arias, Adel Abdelkhalek, Ibrahim Ahmed Bani, Kenza Hassouni, Mahmoud Hilali, Mohamed Khalis, Wejdene Mansour, Ali Mtiraoui, Hassan Chrifi, Mohamed Douagi, Abdedayem Khelifi

“…To address this problem, we aim to design and pilot test the Migrant Health Country Profile tool (MHCP-t) which can collate country-level data collection around migration health data, policies and healthcare provision.Methods and analysis The MHCP-t development is a stepwise process that will integrate a process evaluation model with active involvement and engagement of multilevel stakeholders. …”
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Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review by Victoria Moglia, Owen Johnson, Gordon Cook, Marc de Kamps, Lesley Smith

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Rehabilitation outcomes after comprehensive post-acute inpatient rehabilitation following moderate to severe acquired brain injury—study protocol for an overall prognosis study based on routinely collected health data by Uwe M. Pommerich, Peter W. Stubbs, Jørgen Feldbæk Nielsen

“…Routinely collected electronic health data will be extracted from the healthcare provider’s database and deterministically linked on an individual level to construct the study cohort. …”
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Finnish national patient data repository as data source for FINRISK risk calculator by Viljami Männikkö, Henna Kujanen, Joona Munukka, Klaus Förger

Subjects: “…health data…”
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Healthcare assessment tools—a valid source of data for pre-hospital care? Usability for ensuring medical care in the event of a disaster by Robert Konrad, Robert Konrad, Denise Schuster, HJ Heppner, HJ Heppner

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