Reviewing ensemble classification methods in breast cancer

M Hosni, I Abnane, A Idri, JMC de Gea… - Computer methods and …, 2019 - Elsevier
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …

Multidisciplinary care of breast cancer patients: a scoping review of multidisciplinary styles, processes, and outcomes

J Shao, M Rodrigues, AL Corter… - Current Oncology, 2019 - pmc.ncbi.nlm.nih.gov
Background Clinical practice guidelines recommend a multidisciplinary approach to cancer
care that brings together all relevant disciplines to discuss optimal disease management …

Can machine-learning techniques be used for 5-year survival prediction of patients with chondrosarcoma?

QCBS Thio, AV Karhade, PT Ogink… - Clinical Orthopaedics …, 2018 - journals.lww.com
Background Several studies have identified prognostic factors for patients with
chondrosarcoma, but there are few studies investigating the accuracy of computationally …

Barriers to use artificial intelligence methodologies in health technology assessment in central and east European countries

K Tachkov, A Zemplenyi, M Kamusheva… - Frontiers in Public …, 2022 - frontiersin.org
The aim of this paper is to identify the barriers that are specifically relevant to the use of
Artificial Intelligence (AI)-based evidence in Central and Eastern European (CEE) Health …

[HTML][HTML] Tracking knowledge evolution, hotspots and future directions of emerging technologies in cancers research: a bibliometrics review

X Wang, J Guo, D Gu, Y Yang, X Yang, K Zhu - Journal of Cancer, 2019 - ncbi.nlm.nih.gov
Due to various environmental pollution issues, cancers have become the “first killer” of
human beings in the 21st century and their control has become a global strategy of human …

The effect of multidisciplinary team on survival rates of women with breast cancer: a systematic review and meta-analysis

EA Pangarsa, D Rizky, K Tandarto… - Annals of Medicine …, 2023 - journals.lww.com
Background: Breast cancer is quite frequent all around the world. This disease was
responsible for an estimated 2.1 million malignancies in 2022, making it the seventh-highest …

Use and accuracy of decision support systems using artificial intelligence for tumor diseases: a systematic review and meta-analysis

R Oehring, N Ramasetti, S Ng, R Roller… - Frontiers in …, 2023 - frontiersin.org
Background For therapy planning in cancer patients multidisciplinary team meetings (MDM)
are mandatory. Due to the high number of cases being discussed and significant workload …

Machine-learning algorithm to predict multidisciplinary team treatment recommendations in the management of basal cell carcinoma

TW Andrew, N Hamnett, I Roy, J Garioch… - British Journal of …, 2022 - nature.com
Background Basal cell carcinoma (BCC) is the most common human cancer. Facial BCCs
most commonly occur on the nose and the management of these lesions is particularly …

Prediction methods of herbal compounds in Chinese medicinal herbs

K Han, L Zhang, M Wang, R Zhang, C Wang, C Zhang - Molecules, 2018 - mdpi.com
Chinese herbal medicine has recently gained worldwide attention. The curative mechanism
of Chinese herbal medicine is compared with that of western medicine at the molecular …

Classification algorithm for congenital Zika Syndrome: characterizations, diagnosis and validation

RV Veiga, L Schuler-Faccini, GVA França… - Scientific Reports, 2021 - nature.com
Zika virus was responsible for the microcephaly epidemic in Brazil which began in October
2015 and brought great challenges to the scientific community and health professionals in …