Results 11 to 20 of about 12,729,451 (220)
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis [PDF]
AAAI Conference on Artificial Intelligence, 2021 Recent advances in unsupervised domain adaptation (UDA) show that transferable prototypical learning presents a powerful means for class conditional alignment, which encourages the closeness of cross-domain class centroids.
Xiaofeng Liu +9 more
semanticscholar +1 more source
Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait
Sensors, 2022 Inpatient gait analysis is an essential part of rehabilitation for foot amputees and includes the ground contact time (GCT) difference of both legs as an essential component. Doctors communicate improvement advice to patients regarding their gait pattern
Severin Bernhart +3 more
doaj +1 more source
Dynamically switchable magnetic resonance imaging contrast agents
Exploration, 2021 Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang +5 more
doaj +1 more source
Intelligent medical assistant diagnosis method based on data fusion
工程科学学报, 2021 In the field of medicine, in order to diagnose a patient’s condition more efficiently and conveniently, image classification has been widely leveraged.
Tao-hong ZHANG +3 more
doaj +1 more source
Quality of Medical Information Determine the Quality of Diagnosis Code [PDF]
, 2019 The accuracy of the diagnosis code has implications for future patient care planning, provision of health services and patient care costs. Therefore, this study has analyzed the influence of the quality of medical information on the quality of the ...
Ismayani, A. (Ani) +2 more
core +3 more sources
Medical Diagnosis Using Machine Learning: A Statistical Review
Computers Materials & Continua, 2021 : Decision making in case of medical diagnosis is a complicated process. A large number of overlapping structures and cases, and distractions, tiredness, and limitations with the human visual system can lead to inap-propriate diagnosis. Machine learning (
K. Bhavsar +5 more
semanticscholar +1 more source
Wrapper-Based Feature Selection for Medical Diagnosis: The BTLBO-KNN Algorithm
IEEE Access, 2023 Medical diagnosis research has recently focused on feature selection techniques due to the availability of multiple variables in medical datasets. Wrapper-based feature selection approaches have shown promise in providing faster and more cost-effective ...
Fateh Seghir +3 more
doaj +1 more source
Improving the accuracy of medical diagnosis with causal machine learning
Nature Communications, 2020 Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis are
Jonathan G. Richens +2 more
semanticscholar +1 more source
Underactive bladder - an underestimated entity [PDF]
, 2020 Introduction. The concept of underactive bladder is relatively new. Currently there is no generally accepted definition of this pathology. Diagnosis depends on urodynamic findings, and symptoms are usually rare and intricated with the symptoms of other ...
Bratu, Ovidiu Gabriel +8 more
core +2 more sources
The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
Frontiers in Artificial Intelligence, 2020 Increasing quality and performance of artificial intelligence (AI) in general and machine learning (ML) in particular is followed by a wider use of these approaches in everyday life.
Sebastian Bruckert +2 more
doaj +1 more source