AIMC Topic: Machine Learning

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Animal behavior on auto.

Lab animal Jun 1, 2019
Behavior, Animal Animals, Laboratory Animal Experimentation Neural Networks, Computer Machine Learning Animals Animal Welfare
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Response to Comment on "MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery".

Annals of surgery Jun 1, 2019
Machine Learning Algorithms
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Machine learning, practically speaking.

Nature methods Jun 1, 2019
Machine Learning Algorithms Biomedical Research Humans Artificial Intelligence
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A Machine Learning Strategy for Autism Screening in Toddlers.

Journal of developmental and behavioral pediatrics : JDBP Jun 1, 2019
OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can deter pediatric screening. The Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) is a widely...
Checklist Machine Learning Psychiatric Status Rating Scales Child, Preschool Autism Spectrum Disorder Male Female Humans Infant Neural Networks, Computer
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Applications of machine learning in drug discovery and development.

Nature reviews. Drug discovery Jun 1, 2019
Drug discovery and development pipelines are long, complex and depend on numerous factors. Machine learning (ML) approaches provide a set of tools that can improve discovery and decision making for well-specified questions with abundant, high-quality...
Humans Machine Learning Animals Neural Networks, Computer Drug Design Drug Discovery
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A systematic literature review of machine learning in online personal health data.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
OBJECTIVE: User-generated content (UGC) in online environments provides opportunities to learn an individual's health status outside of clinical settings. However, the nature of UGC brings challenges in both data collecting and processing. The purpos...
Internet Patient Portals Patient Generated Health Data Humans Machine Learning Social Media
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Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

JAMA internal medicine Jun 1, 2019
This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.
Medical Records Systems, Computerized Medical Informatics Speech Recognition Software Machine Learning Physician-Patient Relations Humans Artificial Intelligence
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Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 1, 2019
INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algori...
Melanoma Survival Rate Lung Neoplasms Prognosis Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Follow-Up Studies Predictive Value of Tests Immunotherapy Antineoplastic Combined Chemotherapy Protocols Humans Machine Learning Algorithms Artificial Intelligence Programmed Cell Death 1 Receptor
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Quantifying risk factors in medical reports with a context-aware linear model.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2019
OBJECTIVE: We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions, symptoms, laboratory tests or behavi...
Risk Factors Risk Assessment Linear Models Mortality Natural Language Processing Humans Machine Learning Electronic Health Records
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A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding.

Drug safety Jun 1, 2019
INTRODUCTION: Adverse drug reaction (ADR) detection in hospitals is heavily reliant on spontaneous reporting by clinical staff, with studies in the literature pointing to high rates of underreporting [1]. International Classification of Diseases, 10t...
Algorithms Hospitalization Hospitals Humans Machine Learning International Classification of Diseases ROC Curve Clinical Coding Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems
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