المؤلفون: Cevik, C., Tekir, O., Özsezer, G.

مصطلحات موضوعية: experimental study, Diabetic foot care, self-efficacy, type 2 diabetes, diabetic foot, educational status, human, non insulin dependent diabetes mellitus, quality of life, self concept, Diabetes Mellitus, Type 2, Humans, Self Efficacy

العلاقة: Nigerian journal of clinical practice; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11454/90355Test; https://doi.org/10.4103/njcp.njcp_690_20Test; 26; 138; 144

الإتاحة: https://doi.org/10.4103/njcp.njcp_690_20Test
https://hdl.handle.net/11454/90355Test

المؤلفون: Tekir, O., Cevik, C., Özsezer, G.

مصطلحات موضوعية: Diabetic foot care, experimental study, self-efficacy, type 2 diabetes, diabetic foot, educational status, human, non insulin dependent diabetes mellitus, quality of life, self concept, Diabetes Mellitus, Type 2, Humans, Self Efficacy

العلاقة: Nigerian journal of clinical practice; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.4103/njcp.njcp_690_20Test; https://hdl.handle.net/11454/83324Test; 26; 138; 144; 2-s2.0-85149516050

الإتاحة: https://doi.org/10.4103/njcp.njcp_690_20Test
https://hdl.handle.net/11454/83324Test

المؤلفون: Mermer, G., Özsezer, G.

مصطلحات موضوعية: machine learning, prediction, public health nursing, water quality

العلاقة: Public Health Nursing; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1111/phn.13264Test; https://hdl.handle.net/11454/92793Test

الإتاحة: https://doi.org/10.1111/phn.13264Test
https://hdl.handle.net/11454/92793Test

المؤلفون: Özsezer G., Mermer G.

مصطلحات موضوعية: COVID-19, sentiment analysis, Twitter, Vaccine

العلاقة: Disaster Medicine and Public Health Preparedness; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1017/dmp.2022.229Test; https://hdl.handle.net/11454/85350Test; 2-s2.0-85141201401

الإتاحة: https://doi.org/10.1017/dmp.2022.229Test
https://hdl.handle.net/11454/85350Test

المؤلفون: Özsezer G., Mermer G.

مصطلحات موضوعية: Coronavirus disease 2019 (COVID-19), Artificial intelligence, Pandemic, Machine learning, Deep learning

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=od______9436::c41ec9118d8f8f3de058e27cdd0da287Test
https://hdl.handle.net/11454/79815Test

المؤلفون: Mermer G., Özsezer G.

مصطلحات موضوعية: Coronavirus disease 2019 (COVID-19), Deep learning, Machine learning, Pandemic, Artificial intelligence

العلاقة: Acta Medica Iranica; Diğer; https://hdl.handle.net/11454/79815Test; https://doi.org/10.18502/acta.v60i7.10208Test; 60; 387; 397

الإتاحة: https://doi.org/10.18502/acta.v60i7.10208Test
https://hdl.handle.net/11454/79815Test