Výsledky vyhledávání - "medical diagnostic computing"

Akademický článek

A two‐stage neural network prediction of chronic kidney disease

Autor: Hongquan Peng, Haibin Zhu, Chi Wa Ao Ieong, Tao Tao, Tsung Yang Tsai, Zhi Liu

Publikováno v: IET Systems Biology, Vol 15, Iss 5, Pp 163-171 (2021)

Abstract Accurate detection of chronic kidney disease (CKD) plays a pivotal role in early diagnosis and treatment. Measured glomerular filtration rate (mGFR) is considered the benchmark indicator in measuring the kidney function. However, due to the

Externí odkaz: https://doaj.org/article/2bc7a33df5da469f899c68063f4b7664

Zobrazit plný text záznamu

Akademický článek

Machine learning discovery of distinguishing laboratory features for severity classification of COVID‐19 patients

Autor: Yang Xiao, Li Yan, Mingyang Zhang, Kent E. Pinkerton, Haosen Cao, Ying Xiao, Wei Li, Shuai Li, Yancheng Wang, Shusheng Li, Zhiguo Cao, Gary Wing‐Kin Wong, Hui Xu, Hai‐Tao Zhang

Publikováno v: IET Cyber-systems and Robotics, Vol 3, Iss 1, Pp 31-43 (2021)

Abstract The exponential spread of COVID‐19 worldwide is evident, with devastating outbreaks primarily in the United States, Spain, Italy, the United Kingdom, France, Germany, Turkey and Russia. As of 1 May 2020, a total of 3,308,386 confirmed case

Externí odkaz: https://doaj.org/article/3f741094fe5040798a235fa39fb8f348

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Akademický článek

Recent advances in robot-assisted echography: combining perception, control and cognition

Autor: Zhenyu Lu, Miao Li, Andy Annamalai, Chenguang Yang

Publikováno v: Cognitive Computation and Systems (2020)

Echography imaging is an important technique frequently used in medical diagnostics due to low-cost, non-ionising characteristics, and pragmatic convenience. Due to the shortage of skilful technicians and injuries of physicians sustained from diagnos

Externí odkaz: https://doaj.org/article/961373af066c4eb38124c77c35140c56

Zobrazit plný text záznamu

Akademický článek

Data mining process for predicting diabetes mellitus based model about other chronic diseases: a case study of the northwestern part of Nigeria

Autor: Muhammad Musa Uba, Ren Jiadong, Muhammad Noman Sohail, Muhammad Irshad, Kaifei Yu

Publikováno v: Healthcare Technology Letters (2019)

To predict diabetes mellitus model data mining (DM) based approaches on the dataset collected from the seven northwestern states of Nigeria. Data were collected from both primary and secondary sources through questionnaires and verbal interviews from

Externí odkaz: https://doaj.org/article/1f42e9163ded4fa49ad397848c090582

Zobrazit plný text záznamu

Akademický článek

Classification of osteoporosis by artificial neural network based on monarch butterfly optimisation algorithm

Autor: D. Devikanniga, R. Joshua Samuel Raj

Publikováno v: Healthcare Technology Letters (2018)

Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, which on advanced stage leads to the death of an individual. The diagnosis of osteoporosis is done based on

Externí odkaz: https://doaj.org/article/c6a7913dfaf54d45bcd797192fe1e9c6

Zobrazit plný text záznamu

Akademický článek

Predicting anxiety and depression in elderly patients using machine learning technology

Autor: Arkaprabha Sau, Ishita Bhakta

Publikováno v: Healthcare Technology Letters (2017)

Anxiety and depression are two important mental health problems among the geriatric population. They are often undiagnosed and directly or indirectly responsible for various morbidities. Early and timely diagnosis has immense effect on appropriate ma

Externí odkaz: https://doaj.org/article/f276e74287ff467f98762cf78e7041e5

Zobrazit plný text záznamu

Classification of osteoporosis by artificial neural network based on monarch butterfly optimisation algorithm

Autor: R. Joshua Samuel Raj, D. Devikanniga

Publikováno v: Healthcare Technology Letters
Healthcare Technology Letters (2018)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a0901f360a1ae773d2443696fa9b166
https://pubmed.ncbi.nlm.nih.gov/29750116

Zobrazit plný text záznamu

Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease

Autor: Cécilia Damon, Marine Depecker, Edouard Duchesnay

Publikováno v: 2011 Tenth International Conference on Machine Learning and Applications (ICMLA 2011)
2011 Tenth International Conference on Machine Learning and Applications (ICMLA 2011), Dec 2011, Honolulu, United States. pp.384-387, ⟨10.1109/ICMLA.2011.185⟩
ICMLA (2)

International audience; Multiple kernel learning (MKL) provides flexibility by considering multiple data views and by searching for the best data representation through a combination of kernels. Clinical applications of neuroimaging have seen recent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::860055a4e355bb7f06eef74f8cd5c2e5
https://hal.archives-ouvertes.fr/hal-02509898

Zobrazit plný text záznamu

A generalized-space expansion of Support Vector Machines for diagnostic systems

Autor: Michalis Zervakis, Ioannis Dimou

Publikováno v: Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Summarization: Support Vector Machines (SVMs) are by now an established tool used in state of the art applications in the biomedical domain. Their prevalence has unveiled both a very effective generalization capability and the inherent positive defin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5b91bf95f17655aca3c52203b9dc159
https://doi.org/10.1109/itab.2010.5687779

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání