Search · four archives
Search · four archives
16 papers · ranked by Valyu relevance
Osval A. Montesinos López, Brandon Alejandro Mosqueda González, Abelardo Montesinos López, José Crossa + 2 more
'Abelardo Montesinos López' 'José Crossa' 'Nagendra Kumar Singh' 'Prasanta K. Dash'] Genomic selection (GS) is revolutionizing plant breeding. However, because it is a predictive methodology, a basic understanding of statistical machine-learning methods is necessary for its successful implementation. This methodology…
Muhammet Fatih Ak
In the developing world, cancer death is one of the major problems for humankind. Even though there are many ways to prevent it before happening, some cancer types still do not have any treatment. One of the most common cancer types is breast cancer, and early diagnosis is the most important thing in its treatment.…
Giovanna Cilluffo, Salvatore Fasola, Giuliana Ferrante, Velia Malizia + 5 more
'Velia Malizia' 'Laura Montalbano' 'Stefania La Grutta' 'Mariamena Arbitrio' 'Maria Teresa Di Martino' 'Francesca Scionti'] This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and their applications in pharmacogenetics (such as antidepressant, anti-cancer and warfarin drugs)…
Samuel K. Sheppard, Nicolas Arning, David W. Eyre, Daniel J. Wilson
The availability of large genome datasets has changed the microbiology research landscape. Analyzing such data requires computationally demanding analyses, and new approaches have come from different data analysis philosophies. Machine learning and statistical inference have overlapping knowledge discovery aims and…
Senerath Mudalige Don Alexis Chinthaka Jayatilake, Gamage Upeksha Ganegoda
In the present day, there are many diseases which need to be identified at their early stages to start relevant treatments. If not, they could be uncurable and deadly. Due to this reason, there is a need of analysing complex medical data, medical reports, and medical images at a lesser time but with greater accuracy.…
Mohammed G. Sghaireen, Yazan Al-Smadi, Ahmad Al-Qerem, Kumar Chandan Srivastava + 5 more
'Kumar Chandan Srivastava' 'Kiran Kumar Ganji' 'Mohammad Khursheed Alam' 'Shadi Nashwan' 'Yousef Khader' 'Simona Bungau'] Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. Metabolism-related risk factors include diabetes and heart disease.…
Juan Jovel, Russell Greiner
Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data-e.g., given a series of features describing persons, a ML model predicts whether a person is diseased or healthy, or given features of…
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed through various stages of popularity and has recently undergone a revival through the introduction of deep neural networks. Some problems of AI are that, so far, neither the…
Graziella Orrù, Merylin Monaro, Ciro Conversano, Angelo Gemignani + 1 more
'Giuseppe Sartori'] Recent controversies about the level of replicability of behavioral research analyzed using statistical inference have cast interest in developing more efficient techniques for analyzing the results of psychological experiments. Here we claim that complementing the analytical workflow of…
Marie Salditt, Theresa Eckes, Steffen Nestler
Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics are associated with treatment effect heterogeneity can help to customize therapy to the individual patient. In this tutorial, we describe different meta-learners, which…
Paola Patricia Ariza-Colpas, Enrico Vicario, Ana Isabel Oviedo-Carrascal, Shariq Butt Aziz + 7 more
The Assisted Living Environments Research Area-AAL (Ambient Assisted Living), focuses on generating innovative technology, products, and services to assist, medical care and rehabilitation to older adults, to increase the time in which these people can live. independently, whether they suffer from neurodegenerative…
Mert Bal, M. Fatih Amasyali, Hayri Sever, Guven Kose + 1 more
The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select…
Changyu Deng, Xunbi Ji, Colton Rainey, Jianyu Zhang + 1 more
Title: Summary Machine learning has been heavily researched and widely used in many disciplines. However, achieving high accuracy requires a large amount of data that is sometimes difficult, expensive, or impractical to obtain. Integrating human knowledge into machine learning can significantly reduce data requirement…
Pierre Bongrand, Binh P. Nguyen, Fei Guo
During the last decade, artificial intelligence (AI) was applied to nearly all domains of human activity, including scientific research. It is thus warranted to ask whether AI thinking should be durably involved in biomedical research. This problem was addressed by examining three complementary questions (i) What are…
Zongben Xu, Jun Shu, Deyu Meng
This paper introduces a ‘simulating learning methodology’ (SLeM) approach for the learning methodology determination in general and for Auto6 ML in particular, and reports the SLeM framework, approaches, algorithms and applications.
Sarinder Kaur Dhillon, Mogana Darshini Ganggayah, Siamala Sinnadurai, Pietro Lio + 2 more
'Pietro Lio' 'Nur Aishah Taib' 'Md Mohaimenul Islam'] The practice of medical decision making is changing rapidly with the development of innovative computing technologies. The growing interest of data analysis with improvements in big data computer processing methods raises the question of whether machine learning can…