Results 51 to 60 of about 1,097,077 (239)
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Engineering and Applied Science Research, 2022 Decision Trees are a common approach used for classifying unseen data into defined classes. The Information Gain is usually applied as splitting criteria in the node selection process for constructing the decision tree.
Sirichanya Chanmee, Kraisak Kesorn
doaj
Decision Tree Algorithm Considering Distances Between Classes
IEEE Access, 2022 Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as entropy and Gini.
Sangyong Lee +3 more
doaj +1 more source
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap, 2021 Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data.
Yunita Ardilla +2 more
doaj +1 more source
Molecular Oncology, EarlyView.In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern +7 more
wiley +1 more source
Penerapan Algoritma Decision Tree untuk Penilaian Agunan Pengajuan Kredit [PDF]
, 2015 Masih terdapat kemungkinan kesalahan penilaian agunan sebagai acuan nilai kredit, yang akan membuka peluang terjadinya NPL. Jadi diperlukan suatu cara penilaian (prediksi nilai) yang cukup proporsional, kredibel dan akurat.
Lareno, B. (Bambang), Setiadi, B. (Budi)
core
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Decision tree analysis for prostate cancer prediction [PDF]
Srpski Arhiv za Celokupno Lekarstvo, 2019 Introduction/Objective. The use of serum prostate-specific antigen (PSA) test has dramatically increased the number of men undergoing prostate biopsy. However, the best possible strategies for selecting appropriate patients for prostate biopsy have yet ...
Stojadinović Miroslav M. +2 more
doaj +1 more source
A Chi-MIC Based Adaptive Multi-Branch Decision Tree
IEEE Access, 2021 Since the decision trees (DTs) have an advantage over “black-box” models, such as neural nets or support vector machines, in terms of comprehensibility, such that it might merit improvement for further optimization.
Jiahao Ye +6 more
doaj +1 more source