AIMC Topic: Machine Learning

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Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Journal of counseling psychology Jul 1, 2020
Artificial intelligence generally and machine learning specifically have become deeply woven into the lives and technologies of modern life. Machine learning is dramatically changing scientific research and industry and may also hold promise for addr...
Biomedical Research Professional-Patient Relations Male Psychotherapeutic Processes Adolescent Therapeutic Alliance Universities Psychotherapy Humans Natural Language Processing Female Counseling Machine Learning Young Adult Mental Disorders Adult
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Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
Hemoglobins Data Mining Critical Care APACHE Humans Pressure Ulcer Machine Learning Adolescent Intensive Care Units Child Electronic Health Records Hospitals, University Male Aged, 80 and over Young Adult Middle Aged Adult Female Risk Assessment Sensitivity and Specificity Risk Factors Aged
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Similar Disease Prediction With Heterogeneous Disease Information Networks.

IEEE transactions on nanobioscience Jul 1, 2020
Studying the similarity of diseases can help us to explore the pathological characteristics of complex diseases, and help provide reliable reference information for inferring the relationship between new diseases and known diseases, so as to develop ...
Humans Machine Learning Models, Statistical Algorithms Disease Databases, Factual Semantics Computational Biology
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Machine learning in haematological malignancies.

The Lancet. Haematology Jul 1, 2020
Machine learning is a branch of computer science and statistics that generates predictive or descriptive models by learning from training data rather than by being rigidly programmed. It has attracted substantial attention for its many applications i...
Neural Networks, Computer Machine Learning Humans Algorithms Hematologic Neoplasms
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Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

The journal of trauma and acute care surgery Jul 1, 2020
BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI) but is expensive and risks radiation exposure. The Pediatric Emergency Care Applied Research Network (PECARN) model identifies children at low risk ...
Predictive Value of Tests Abdominal Injuries Risk Assessment Adolescent Child Female Risk Factors Male Machine Learning Wounds, Nonpenetrating Humans
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Empirical assessment of bias in machine learning diagnostic test accuracy studies.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care. However, methodological pitfalls may affect diagnostic test accuracy studies used to appraise such tools. We aimed to evaluate the prevalence and rep...
Systematic Reviews as Topic Publications Diagnostic Techniques and Procedures Humans Biomedical Research Bias Machine Learning Sensitivity and Specificity
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Artificial intelligence in chemistry and drug design.

Journal of computer-aided molecular design Jul 1, 2020
Humans Artificial Intelligence Machine Learning Algorithms Databases, Chemical Drug Design Drug Discovery Big Data
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Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: To conduct a systematic scoping review of explainable artificial intelligence (XAI) models that use real-world electronic health record data, categorize these techniques according to different biomedical applications, identify gaps of curr...
Humans Artificial Intelligence Machine Learning Logistic Models Bibliometrics Evaluation Studies as Topic Electronic Health Records Reproducibility of Results Attitude of Health Personnel
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PPTPP: a novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning.

Bioinformatics (Oxford, England) Jul 1, 2020
MOTIVATION: Peptide is a promising candidate for therapeutic and diagnostic development due to its great physiological versatility and structural simplicity. Thus, identifying therapeutic peptides and investigating their properties are fundamentally ...
Machine Learning Peptides
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Patient-specific three-dimensional aortic arch modeling for automatic measurements: clinical validation in aortic coarctation.

Journal of cardiovascular medicine (Hagerstown, Md.) Jul 1, 2020
AIM: A validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.
Male Humans Adolescent Retrospective Studies Machine Learning Child Imaging, Three-Dimensional Female Software Magnetic Resonance Angiography Predictive Value of Tests Reproducibility of Results Patient-Specific Modeling Models, Cardiovascular Automation Aortic Coarctation Young Adult Aorta, Thoracic Adult
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