Results 51 to 60 of about 4,496,002 (333)
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities [PDF]
Recent applications of machine learning (ML) reveal a noticeable shift from its use for predictive modeling in the sense of a data-driven construction of models mainly used for the purpose of prediction (of ground-truth facts) to its use for prescriptive modeling.
arxiv
A novel data-driven algorithm to predict anomalous prescription based on patient's feature set [PDF]
Appropriate dosing of radiation is crucial to patient safety in radiotherapy. Current quality assurance depends heavily on a peer-review process, where the physicians' peer review on each patient's treatment plan, including dose and fractionation. However, such a process is manual and laborious.
arxiv
Nurses’ role in medical prescription: Systematic review
Aim: To identify and describe the role of non-prescribing nurses in medical prescription, through a critical synthesis of all the studies published worldwide answering ...
Taghrid Chaaban+6 more
semanticscholar +1 more source
Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou+11 more
wiley +1 more source
C17H14FNO2, monoclinic, P21/n (no. 14), a = 8.0937(8) Å, b = 7.1326(6) Å, c = 22.367(2) Å, β = 90.863(9)°, V = 1291.1(2) Å3, Z = 4, Rgt(F) = 0.0404, wRref(F2) = 0.0974, T = 99.97(16) K.
Wang Chen+5 more
doaj +1 more source
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network [PDF]
Recent advancements in medical entity linking have been applied in the area of scientific literature and social media data. However, with the adoption of telemedicine and conversational agents such as Alexa in healthcare settings, medical name inference has become an important task.
arxiv
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning [PDF]
Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies pill-prescription from mobile images. Specifically, we define a so-called pill-prescription matching task, which attempts to match the images of the pills taken with the ...
arxiv
The Regulation (EU) 2019/6 establishes that the veterinary prescriptions should follow a cascade, according to their availability of the market. In sum, the veterinarian is authorized to use a medicine for human use only if there is no product available
Rafaela Nogueira+7 more
doaj +1 more source
Prescription of cannabinoids in psychiatry: (how) do we cross that door?
Cannabis policy liberalization has increased the availability of cannabis products for medical and recreational purposes, following a growing public demand. The large number of cannabinoid users reporting self-medication for several mental health-related
A. Batalla
doaj +1 more source
Objectives Antibiotic resistance is a major public health concern and is greatly exacerbated by inappropriate antibiotic use at a community level.
M. Zapata-Cachafeiro+6 more
semanticscholar +1 more source