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Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms.
JMIR AI
January 2025
Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States.
Background: In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care.
View Article and Find Full Text PDFItching tends to worsen at night in patients with itchy skin diseases, such as atopic dermatitis. Unconscious scratching during sleep can exacerbate symptoms, cause sleep disturbances, or reduce quality of life. Therefore, evaluating nocturnal scratching behaviour is important for better patient care.
View Article and Find Full Text PDFAbsorption spectroscopy is a widely used non-contact combustion diagnostic technique. HO is frequently used as the target molecule for combustion temperature measurement. However, correcting the baseline in broadened absorption spectroscopy under high pressure remains challenging.
View Article and Find Full Text PDFReconstruction of local three-dimensional temperature field of tumor cells with low-toxic nanoscale quantum-dot thermometer and cepstrum spatial localization algorithm.
Biomed Phys Eng Express
January 2025
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, People's Republic of China.
The optimal method for three-dimensional thermal imaging within cells involves collecting intracellular temperature responses while simultaneously obtaining corresponding 3D positional information. Current temperature measurement techniques based on the photothermal properties of quantum dots face several limitations, including high cytotoxicity and low fluorescence quantum yields. These issues affect the normal metabolic processes of tumor cells.
View Article and Find Full Text PDFPhotovoltaic Array Fault Diagnosis and Localization Method Based on Modulated Photocurrent and Machine Learning.
Sensors (Basel)
December 2024
College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China.
Photovoltaic arrays are exposed to outdoor conditions year-round, leading to degradation, cracks, open circuits, and other faults. Hence, the establishment of an effective fault diagnosis system for photovoltaic arrays is of paramount importance. However, existing fault diagnosis methods often trade off between high accuracy and localization.
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