AIMC Topic: Random Forest

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An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection.

Studies in health technology and informatics Jun 29, 2023
This study suggests a novel Acute Lymphoblastic Leukemia (ALL) diagnostic model, built solely on complete blood count (CBC) records. Using a dataset comprised of CBC records of 86 ALL and 86 control patients respectively, we identified the most ALL-s...
Humans Artificial Intelligence Algorithms Computer Systems Random Forest Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.

Cerebral cortex (New York, N.Y. : 1991) Jun 20, 2023
Successful neuromodulation approaches to alter episodic memory require closed-loop stimulation predicated on the effective classification of brain states. The practical implementation of such strategies requires prior decisions regarding electrode im...
Humans Brain Support Vector Machine Cluster Analysis Unsupervised Machine Learning Electroencephalography Random Forest Electrodes Brain-Computer Interfaces Memory, Episodic Mental Recall
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Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

Bioinformatics (Oxford, England) Jun 1, 2023
MOTIVATION: Interpretable deep learning (DL) models that can provide biological insights, in addition to accurate predictions, are of great interest to the biomedical community. Recently, interpretable DL models that incorporate signaling pathways ha...
Neural Networks, Computer Deep Learning Random Forest
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Effects of dimension reduction of hyperspectral images in skin gross pathology.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Feb 1, 2023
BACKGROUND: Hyperspectral imaging (HSI) is an emerging modality for the gross pathology of the skin. Spectral signatures of HSI could discriminate malignant from benign tissue. Because of inherent redundancies in HSI and in order to facilitate the us...
Humans Support Vector Machine Principal Component Analysis Random Forest
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Comparative analysis of weka-based classification algorithms on medical diagnosis datasets.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: With the advent of 5G and the era of Big Data, the rapid development of medical information technology around the world, the massive application of electronic medical records and cases, and the digitization of medical equipment and instru...
Humans Machine Learning Algorithms Electronic Health Records Bayes Theorem Random Forest
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Prediction of Breast Cancer Through Random Forest.

Current medical imaging Jan 1, 2023
BACKGROUND: 8% of women are diagnosed with breast cancer. (BC) BC is the second most common cause of death in both developed and undeveloped countries. BC is characterized by the mutation of genes, constant pain, changes in the size, color (redness),...
Humans Artificial Intelligence Machine Learning Algorithms Female Breast Neoplasms Random Forest
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