359.866 hasil untuk machine learning
Menampilkan 481–500 · 0,94 detik · RSS
-
Artikel Jurnal Teks lengkap
Machine learning-powered antibiotics phenotypic drug discovery
…phenotypic fingerprint (BPF) profiling platform in conjunction with a machine learning-powered dataset analysis, effectively allowed us to narrow down, compare and predict compound mode of action (MoA). The method identifies weak antibacterial hits allowing full exploitation of low potency hits…
-
Artikel Jurnal Teks lengkap
Machine learning in medicine: a practical introduction
BACKGROUND: Following visible successes on a wide range of predictive tasks, machine learning techniques are attracting substantial interest from medical researchers and clinicians. We address the need for capacity development in this area by providing a conceptual introduction to machine learning…
-
Artikel Jurnal Teks lengkap
Developing Machine Learning Models for Behavioral Coding
OBJECTIVE: The goal of this research is to develop a machine learning supervised classification model to automatically code clinical encounter transcripts using a behavioral code scheme. METHODS: We first evaluated the efficacy of eight state-of-the-art machine learning classification models to…
-
Artikel Jurnal Teks lengkap
Machine learning in chemoinformatics and drug discovery
…explosion of chemical ‘big’ data from HTS and combinatorial synthesis, machine learning has become an indispensable tool for drug designers to mine chemical information from large compound databases to design drugs with important biological properties. To process the chemical data, we first…
-
Artikel Jurnal Teks lengkap
Machine Learning in Acute Ischemic Stroke Neuroimaging
Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient outcomes in a number of neurological diseases. The evaluation and treatment of Acute Ischemic Stroke (AIS) have experienced a…
-
Artikel Jurnal Teks lengkap
Predicting Diabetes Mellitus With Machine Learning Techniques
…this alarming figure needs great attention. With the rapid development of machine learning, machine learning has been applied to many aspects of medical health. In this study, we used decision tree, random forest and neural network to predict diabetes mellitus. The dataset is the hospital physical…
-
Artikel Jurnal Teks lengkap
Machine learning in medicine: Addressing ethical challenges
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.
-
Artikel Jurnal Teks lengkap
Keratoconus severity identification using unsupervised machine learning
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from SS-1000 CASIA OCT Imaging Systems in multiple…
-
Artikel Jurnal Teks lengkap
Machine Learning for Drug-Target Interaction Prediction
…interaction (DTI) prediction. In this review, our goal is to focus on machine learning approaches and provide a comprehensive overview. First, we summarize a brief list of databases frequently used in drug discovery. Next, we adopt a hierarchical classification scheme and introduce several…
-
Artikel Jurnal Teks lengkap
Quantum machine learning for electronic structure calculations
Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations—alongside impressive results using machine learning techniques for computation—hybridizing quantum computing with machine learning for the intent of performing…
-
Artikel Jurnal Teks lengkap
Machine Learning Methods to Predict Diabetes Complications
One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical…
-
Artikel Jurnal Teks lengkap
MoleculeNet: a benchmark for molecular machine learning
Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine learning algorithms to make increasingly accurate predictions about molecular properties. However, algorithmic progress has been limited due to the…
-
Artikel Jurnal Teks lengkap
Machine Learning in Orthopedics: A Literature Review
In this paper we present the findings of a systematic literature review covering the articles published in the last two decades in which the authors described the application of a machine learning technique and method to an orthopedic problem or purpose. By searching both in the Scopus and Medline…
-
Artikel Jurnal Teks lengkap
Machine Learning Methods for Histopathological Image Analysis
Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we…
-
Artikel Jurnal Teks lengkap
Nonadiabatic Excited-State Dynamics with Machine Learning
[Image: see text] We show that machine learning (ML) can be used to accurately reproduce nonadiabatic excited-state dynamics with decoherence-corrected fewest switches surface hopping in a 1-D model system. We propose to use ML to significantly reduce the simulation time of realistic…
-
Artikel Jurnal Teks lengkap
Approaching the adiabatic timescale with machine learning
…work, we experimentally demonstrate an alternative approach based on a machine-learning algorithm which makes progress toward this goal. The algorithm is given control of the coupled decompression and transport of a metastable helium condensate, with its performance determined after each…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.