AIMC Topic: Machine Learning

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MiPepid: MicroPeptide identification tool using machine learning.

BMC bioinformatics Nov 8, 2019
BACKGROUND: Micropeptides are small proteins with length < = 100 amino acids. Short open reading frames that could produces micropeptides were traditionally ignored due to technical difficulties, as few small peptides had been experimentally confirme...
Databases, Protein Open Reading Frames Software Peptides Computational Biology Machine Learning
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Unlocking the Power of Artificial Intelligence and Big Data in Medicine.

Journal of medical Internet research Nov 8, 2019
Data-driven science and its corollaries in machine learning and the wider field of artificial intelligence have the potential to drive important changes in medicine. However, medicine is not a science like any other: It is deeply and tightly bound wi...
Humans Artificial Intelligence Machine Learning Big Data Medical Informatics
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Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.

The Annals of thoracic surgery Nov 7, 2019
BACKGROUND: This study evaluated the predictive utility of a machine learning algorithm in estimating operative mortality risk in cardiac surgery.
Risk Assessment Machine Learning ROC Curve Algorithms Humans Pennsylvania Cardiac Surgical Procedures Retrospective Studies Prognosis Aged Female Survival Rate Risk Factors Male
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Artificial Intelligence and Machine Learning in Cardiovascular Health Care.

The Annals of thoracic surgery Nov 7, 2019
BACKGROUND: This review article provides an overview of artificial intelligence (AI) and machine learning (ML) as it relates to cardiovascular health care.
Electronic Health Records Cardiovascular Diseases Machine Learning Algorithms Delivery of Health Care Humans Artificial Intelligence
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Profiling movement behaviours in pre-school children: A self-organised map approach.

Journal of sports sciences Nov 7, 2019
Application of machine learning techniques has the potential to yield unseen insights into movement and permits visualisation of complex behaviours and tangible profiles. The aim of this study was to identify profiles of relative motor competence (MC...
Fitness Trackers Movement Motor Activity Humans Child, Preschool Machine Learning Body Mass Index Female Accelerometry Cross-Sectional Studies Male Exercise
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The Use of Deep Learning and Neural Networks in Imaging: Welcome to the New Mathematical Milieu of Medicine.

Neuroendocrinology Nov 7, 2019
Biomedical Research Deep Learning Models, Theoretical Neuroendocrine Tumors Humans Neural Networks, Computer Machine Learning
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Sperm quality of rats exposed to difenoconazole using classical parameters and surface-enhanced Raman scattering: classification performance by machine learning methods.

Environmental science and pollution research international Nov 7, 2019
Difenoconazole is a fungicide extensively used in agriculture. The aim of this study was to evaluate the effects of difenoconazole fungicide on the sperm quality of rats. Wistar rats were divided into four groups: control and exposed to 5 (D5), 10 (D...
Dioxolanes Epididymis Triazoles Toxicity Tests Sperm Count Spectrum Analysis, Raman Male Support Vector Machine Fungicides, Industrial Rats, Wistar Testis DNA Damage Machine Learning Sperm Motility Rats Animals Spermatozoa
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Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.

Current psychiatry reports Nov 7, 2019
PURPOSE OF REVIEW: Artificial intelligence (AI) technology holds both great promise to transform mental healthcare and potential pitfalls. This article provides an overview of AI and current applications in healthcare, a review of recent original res...
Artificial Intelligence Machine Learning Algorithms Mental Disorders Mental Health Humans
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ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making Nov 7, 2019
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...
Female Young Adult Adult Neural Networks, Computer Machine Learning Retrospective Studies Adolescent ROC Curve Cluster Analysis Decision Trees Male Middle Aged Thailand Humans Anemia, Iron-Deficiency beta-Thalassemia Anemia, Hypochromic Diagnosis, Differential Predictive Value of Tests Internet
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Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction.

Artificial intelligence in medicine Nov 7, 2019
The ability of multitask learning promulgated its sovereignty in the machine learning field with the diversified application including but not limited to bioinformatics and pattern recognition. Bioinformatics provides a wide range of applications for...
Bacterial Proteins Machine Learning Virulence Algorithms Computer Simulation
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