Results 21 to 30 of about 15,884,452 (302)

UJI AKTIVITAS ANTIINFLAMASI KUERSETIN KULIT BAWANG MERAH (Allium cepa L.) PADA MENCIT PUTIH JANTAN (Mus musculus)

open access: yesJIIS: Jurnal Ilmiah Ibnu Sina, 2016
Inflamasi merupakan reaksi lokal jaringan terhadap infeksi atau cedera dan melibatkan lebih banyak mediator. Pemanfaatan obat tradisional perlu digunakan untuk meminimalisir efek samping obat golongan antiinflamasi non steroid, seperti penggunaan kulit ...
Yulistia Budianti Soemarie
doaj   +3 more sources

Web-Bootstrap Estimate of Area Under ROC Curve

open access: yesAustrian Journal of Statistics, 2016
The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
doaj   +1 more source

Evaluation of the Role of Exosome-derived MiRNA in Breast Cancer Diagnosis: A Systematic Review and Meta-analysis [PDF]

open access: yesInternational Journal of Scientific Research in Dental and Medical Sciences, 2023
Background and aim: Considering the importance of early detection of breast cancer and the use of non-invasive methods, the present study was conducted to evaluate the role of exosome-derived miRNA in breast cancer diagnosis. Material and methods: In the
Pezhman Ghadami   +5 more
doaj   +1 more source

Maternal preterm birth prediction in the United States: a case-control database study

open access: yesBMC Pediatrics, 2022
Background Preterm birth is serious public health worldwide, and early prediction of preterm birth in pregnant women may provide assistance for timely intervention and reduction of preterm birth.
Yan Li   +5 more
doaj   +1 more source

Area under curve.

open access: yes, 2021
Area under curve.
Arnaud Iradukunda (11749259)   +8 more
core   +1 more source

Predicting the Digestive Tract Development and Growth Performance of Goat Kids Using Sigmoidal Models

open access: yesAnimals, 2021
The transition from monogastric to rumination stage is crucial in ruminants’ growth to avoid stressors—weaning and neonatal mortalities. Poor growth of the digestive tract could adversely affect the performance of the animal.
Mahmoud Abdelsattar   +4 more
doaj   +1 more source

Sequential estimate of partial area under ROC curve with beta-protection and optimal ratio of cases to controls

open access: yes, 2016
Due to new technologies, potential variables are collected in a more efficient manner than before. Thus, how to sift effective variable from an abundance of newly discovered markers is an important issue.
Chen, Shih-Chia;Wang, Charlotte;Chang, Yuan-chin I.
core   +1 more source

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

open access: yesFrontiers in Cardiovascular Medicine
IntroductionPulmonary arterial hypertension (PAH) is a severe cardiovascular condition characterized by pulmonary vascular remodeling, increased resistance to blood flow, and eventual right heart failure.
Akbar Fadilah   +3 more
doaj   +1 more source

Is Early Monitoring Better? Impact of Early Vancomycin Exposure on Treatment Outcomes and Nephrotoxicity in Patients with Methicillin-Resistant Staphylococcus aureus Infections

open access: yesAntibiotics, 2020
Optimal early vancomycin target exposure remains controversial. To clarify the therapeutic exposure range, we investigated the association between vancomycin exposure and treatment outcomes or nephrotoxicity in patients with methicillin-resistant ...
Thanawat Chattaweelarp   +4 more
doaj   +1 more source

Ability to Predict Melanoma Within 5 Years Using Registry Data and a Convolutional Neural Network: A Proof of Concept Study

open access: yesActa Dermato-Venereologica, 2022
Research relating to machine learning algorithms, including convolutional neural networks, has increased during the past 5 years. The aim of this pilot study was to investigate how accurately a convolutional neural network, trained on Swedish registry ...
Martin Gillstedt, Sam Polesie
doaj   +1 more source

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