Results 21 to 30 of about 36,209 (267)

Combining conventional ultrasound and ultrasound elastography to predict HER2 status in patients with breast cancer

Frontiers in Physiology, 2023
Introduction: Identifying the HER2 status of breast cancer patients is important for treatment options. Previous studies have shown that ultrasound features are closely related to the subtype of breast cancer.Methods: In this study, we used features of ...
Xiaoying Zhuo, Xiaoying Zhuo, Ji Lv, Ji Lv, Binjie Chen, Jia Liu, Yujie Luo, Jie Liu, Xiaowei Xie, Jiao Lu, Ningjun Zhao, Ningjun Zhao   +11 more
doaj   +1 more source

Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes

Clinical Epidemiology, 2023
Piia Lavikainen,1,* Gunjan Chandra,2,* Pekka Siirtola,2 Satu Tamminen,2 Anusha T Ihalapathirana,2 Juha Röning,2 Tiina Laatikainen,3– 5 Janne Martikainen1 1School of Pharmacy, University of Eastern Finland, Kuopio, Finland; 2Biomimetics and ...
Lavikainen P, Chandra G, Siirtola P, Tamminen S, Ihalapathirana AT, Röning J, Laatikainen T, Martikainen J   +7 more
doaj  

A Model-agnostic XAI Approach for Developing Low-cost IoT Intrusion Detection Dataset

Journal of Information Security and Cybercrimes Research, 2023
This study tackles the significant challenge of generating low-cost intrusion detection datasets for Internet of Things (IoT) camera devices, particularly for financially limited organizations.
Enoch Opanin Gyamfi, Zhiguang Qin, Daniel Adu-Gyamfi, Juliana Mantebea Danso, Judith Ayekai Browne, Dominic Kwasi Adom, Francis Effirim Botchey, Nelson Opoku-Mensah   +7 more
doaj   +1 more source

Explainable Artificial Intelligence for Diabetes Diagnosis [PDF]

E3S Web of Conferences
Whether young, old, type 1, type 2, gestational, newly diagnosed, long-time sufferer, caretaker or loved one, millions of people are afflicted and affected by diabetes.
Lamri Mohamed, Sahour Abdelhakim, Boumehrez Farouk, Bekhouche Abdelaali   +3 more
doaj   +1 more source

Explainable machine learning model predicts response to adjuvant therapy after radical cystectomy in bladder cancer

Frontiers in Oncology
PurposeRadical cystectomy (RC) is the standard treatment for muscle-invasive and select high-risk non–muscle-invasive bladder cancer. Despite definitive surgery, recurrence and progression remain major clinical concerns.
Jian Hou, Yi Ding, Runlin Feng, Yumin Wang, Yanping Tao, Junxiong Li, Jingbo Qin, Pinyao Liang, Peng Gu, Xiaodong Liu   +9 more
doaj   +1 more source

Shap-MeD

CoRR
We present Shap-MeD, a text-to-3D object generative model specialized in the biomedical domain. The objective of this study is to develop an assistant that facilitates the 3D modeling of medical objects, thereby reducing development time. 3D modeling in medicine has various applications, including surgical procedure simulation and planning, the design ...
Nicolás Laverde, Melissa Robles, Johan Rodríguez   +2 more
openaire   +2 more sources

Fairness by Explicability and Adversarial SHAP Learning [PDF]

, 2021
17 pages, 2 ...
James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou   +2 more
openaire   +2 more sources

Interaction Tensor SHAP

CoRR
22 ...
Hiroki Hasegawa, Yukihiko Okada
openaire   +2 more sources

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Machine Learning-Based Interpretation of Operating Conditions for Enriching Polyhydroxyalkanoate-Accumulating Microorganisms [PDF]

대한환경공학회지
Polyhydroxyalkanoate (PHA) is a biodegradable polymer accumulated by microorganisms and is considered a promising alternative to petroleum-based plastics.
Seongbong Heo, Hyeongju Park, Young Mo Kim   +2 more
doaj   +1 more source