Results 151 to 160 of about 10,393 (275)
The Identification and Categorization of Anemia Through Artificial Neural Networks: A Comparative Analysis of Three Models [PDF]
arXivThis paper presents different neural network-based classifier algorithms for diagnosing and classifying Anemia. The study compares these classifiers with established models such as Feed Forward Neural Network (FFNN), Elman network, and Non-linear Auto-Regressive Exogenous model (NARX).
arxiv
Vitamin E-Responsive Macrocytic Anemia in Protein-Calorie Malnutrition
, 1966 AMIN S. MAJAJ
openalex +1 more source
A CASE OF MACROCYTIC ANEMIA AS A PROBABLE ADVERSE SIDE EFFECT OF 5'-DFUR
, 2000 Kazuhiro Toyota +4 more
openalex +2 more sources
Quantitative Analysis of the Normal and Four Alternative Degrees of an Inherited Macrocytic Anemia in the House Mouse [PDF]
, 1951 Elizabeth S. Russell +1 more
openalex +1 more source
Clinico-aetiologic profile of macrocytic anemias with special reference to megaloblastic anemia
, 2008 Vineetha Unnikrishnan +4 more
openalex +2 more sources
Red blood cell histogram in different morphological types of anemia in comparison with peripheral blood smears: A comparative analysis [PDF]
Journal of Clinical and Basic ResearchBackground: Anemia is a significant health concern around the world, and it is particularly prevalent in developing nations like India. A red blood cell (RBC) histogram is a graphic representation of particle size distribution (cell frequencies vs size).
Devang D. Patel +4 more
doaj
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia [PDF]
LLMs4MI 2024 @FLLM 2024, IEEE, Nov 2024, Dubai, United Arab
EmiratesIn practice, clinicians achieve a diagnosis by following a sequence of steps, such as laboratory exams, observations, or imaging. The pathways to reach diagnosis decisions are documented by guidelines authored by expert organizations, which guide clinicians to reach a correct diagnosis through these sequences of steps.
arxiv