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Deep Learning. --- Precision Medicine. --- Patient-Specific Modeling. --- Decision Support Systems, Clinical. --- Clinical Decision Support --- Decision Support, Clinical --- Clinical Decision Support System --- Clinical Decision Support Systems --- Clinical Decision Supports --- Decision Supports, Clinical --- Support, Clinical Decision --- Supports, Clinical Decision --- Clinical Decision-Making --- Patient-Specific Computational Modeling --- Physiome --- Computational Modeling, Patient-Specific --- Modeling, Patient-Specific --- Patient Specific Computational Modeling --- Patient Specific Modeling --- Physiomes --- Models, Biological --- Precision Medicine --- P Health --- P-Health --- Personalized Medicine --- Theranostics --- Individualized Medicine --- Predictive Medicine --- Medicine, Individualized --- Medicine, Personalized --- Medicine, Precision --- Medicine, Predictive --- Theranostic --- Pharmacogenomic Variants --- Pharmacogenetics --- Patient-Specific Modeling --- Hierarchical Learning --- Learning, Deep --- Learning, Hierarchical --- Precision medicine --- Deep learning (Machine learning) --- Artificial intelligence --- Data processing. --- Medical applications.
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This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.
computational intelligence --- medical assistance --- instance-based learning --- healthcare --- clinical decision support systems --- deep neural networks --- medical imaging --- backdoor attacks --- security and privacy --- COVID-19 --- gastric cancer --- endoscopy --- deep learning --- convolutional neural network --- brain --- pituitary adenoma --- dysembryoplastic neuroepithelial tumor --- DNET --- ganglioglioma --- digital pathology --- computer vision --- machine learning --- CNN --- ATLAS --- HarDNet --- Swin transformer --- segmentation --- U-Net --- cerebral infarction --- CycleGAN --- advanced statistics --- schizophrenia --- aggression --- forensic psychiatry --- medical image segmentation --- CT image segmentation --- kernel density --- semi-automated labeling tool --- Bayesian learning --- neuroimaging --- feature selection --- kernel formulation --- mental disorders --- MRI --- visual acuity --- fundus images --- ophthalmology --- SVM --- n/a
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This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.
Technology: general issues --- History of engineering & technology --- computational intelligence --- medical assistance --- instance-based learning --- healthcare --- clinical decision support systems --- deep neural networks --- medical imaging --- backdoor attacks --- security and privacy --- COVID-19 --- gastric cancer --- endoscopy --- deep learning --- convolutional neural network --- brain --- pituitary adenoma --- dysembryoplastic neuroepithelial tumor --- DNET --- ganglioglioma --- digital pathology --- computer vision --- machine learning --- CNN --- ATLAS --- HarDNet --- Swin transformer --- segmentation --- U-Net --- cerebral infarction --- CycleGAN --- advanced statistics --- schizophrenia --- aggression --- forensic psychiatry --- medical image segmentation --- CT image segmentation --- kernel density --- semi-automated labeling tool --- Bayesian learning --- neuroimaging --- feature selection --- kernel formulation --- mental disorders --- MRI --- visual acuity --- fundus images --- ophthalmology --- SVM --- computational intelligence --- medical assistance --- instance-based learning --- healthcare --- clinical decision support systems --- deep neural networks --- medical imaging --- backdoor attacks --- security and privacy --- COVID-19 --- gastric cancer --- endoscopy --- deep learning --- convolutional neural network --- brain --- pituitary adenoma --- dysembryoplastic neuroepithelial tumor --- DNET --- ganglioglioma --- digital pathology --- computer vision --- machine learning --- CNN --- ATLAS --- HarDNet --- Swin transformer --- segmentation --- U-Net --- cerebral infarction --- CycleGAN --- advanced statistics --- schizophrenia --- aggression --- forensic psychiatry --- medical image segmentation --- CT image segmentation --- kernel density --- semi-automated labeling tool --- Bayesian learning --- neuroimaging --- feature selection --- kernel formulation --- mental disorders --- MRI --- visual acuity --- fundus images --- ophthalmology --- SVM
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The Identification of the Genetic Components of Autism Spectrum Disorders 2020 will be a useful resource for laboratory and clinical scientists, translational-based researchers, primary healthcare providers and physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, teachers, special educators, and caregivers involved with individuals who have autism spectrum disorders (ASD), with the goal to translate information directly to the clinical, education and home settings. Other professionals, students at all levels, and families who are interested in this important neurodevelopmental disorder will find this textbook of value by obtaining a better awareness of the causes, testing, and understanding of genetic components leading to autism, and research that may open avenues for treatment with new approaches. This textbook includes nine chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to genetics research and clinical care, description, and treatment by generating reviews for ASD and related disorders. These chapters include information on discoveries, risk factors, causation, diagnosis, treatment, and phenotyping with characterization of genomic or genetic factors and the environment, as genetics play an important role in up to 90% of individuals with autism via over 800 currently recognized genes.
Research & information: general --- Biology, life sciences --- Genetics (non-medical) --- autism --- ASD --- genetics --- heterogeneity --- syndromes --- assessment --- medications --- treatment --- causes --- autism spectrum disorders (ASDs) --- proteomics --- metabolomics --- interactomics --- disease biomarkers --- clinical decision support systems (CDSSs) --- phenotypic subgroups stratified by ASD severity --- simplex families --- DNA methylation --- subgroup-associated genes and biological functions --- Broader Autism Phenotype --- genetic --- autism spectrum disorder --- multiplex family --- genetic factors --- epigenetic factors --- environmental factors --- pervasive developmental disorder --- post-synaptic density --- CNV --- SNP --- gene fusion --- CACNA1C --- CaV1.2 --- short QT syndrome --- dental enamel defect --- bioinformatics --- human genetics --- pharmacogenomics --- 15q11.2 BP1-BP2 deletion --- Burnside-Butler syndrome --- clinical findings --- cognition --- neuropsychiatric behavior development --- genomic characterization --- exome sequencing --- protein–protein interaction --- 22q13.3 duplication --- auditory steady-state response --- ASSR --- SHANK3 --- biomarker --- auditory event-related potential --- ERP --- autism spectrum disorders --- intellectual disabilities --- autism --- ASD --- genetics --- heterogeneity --- syndromes --- assessment --- medications --- treatment --- causes --- autism spectrum disorders (ASDs) --- proteomics --- metabolomics --- interactomics --- disease biomarkers --- clinical decision support systems (CDSSs) --- phenotypic subgroups stratified by ASD severity --- simplex families --- DNA methylation --- subgroup-associated genes and biological functions --- Broader Autism Phenotype --- genetic --- autism spectrum disorder --- multiplex family --- genetic factors --- epigenetic factors --- environmental factors --- pervasive developmental disorder --- post-synaptic density --- CNV --- SNP --- gene fusion --- CACNA1C --- CaV1.2 --- short QT syndrome --- dental enamel defect --- bioinformatics --- human genetics --- pharmacogenomics --- 15q11.2 BP1-BP2 deletion --- Burnside-Butler syndrome --- clinical findings --- cognition --- neuropsychiatric behavior development --- genomic characterization --- exome sequencing --- protein–protein interaction --- 22q13.3 duplication --- auditory steady-state response --- ASSR --- SHANK3 --- biomarker --- auditory event-related potential --- ERP --- autism spectrum disorders --- intellectual disabilities
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“Sex, Gender and Substance Use” describes how both biological and social factors affect people's use of substances. There is a lot of research carried out on substance use, prevention and treatment in which sex and gender are missing. This book describes the concepts of sex and gender, what they mean and why including them in substance use research, practice and policy is vital. Substances such as alcohol, drugs, nicotine, and tobacco all have differential effects on females and males. Social and cultural gendered factors affect how women and men react to prevention, treatment and policies. The book includes numerous examples of how sex- and gender-sensitive research can increase our understanding and improve prevention and treatment, and why striving for gender-transformative substance use practice and research remains a gold standard.
Humanities --- Social interaction --- alcohol --- pregnancy --- abortion --- policy --- gender --- substance use --- FASD prevention --- program evaluation --- multi-service program delivery --- client perspectives --- interpersonal violence --- domestic violence --- intervention --- women --- developmental–relational --- gender-specific approach --- non-medical prescription opioid use --- sleep disturbance --- sex differences --- adolescents --- sexual minorities --- illegal substance use --- homophobic bullying --- alcohol’s harms to others --- gender equality --- drinking cultures --- developmental-relational --- electronic cigarettes --- cigarettes --- waterpipe --- hookah --- polytobacco use --- young adults --- sex --- cognitions --- attitudes --- scoping review --- barriers --- facilitators --- fathers --- males --- smoking --- smoke-free home --- second-hand smoke --- brief intervention --- college campus --- gender transformative --- gender equity --- cannabis --- sex- and gender-based analysis --- SGBA --- cannabis use disorder --- randomized controlled trial --- gender norms --- gender roles --- gender relations --- technology --- health promotion --- SGBA+ --- substance use prevention --- tobacco --- smoking cessation --- clinical decision support systems --- prevention --- alcohol consumption --- FASD --- lifestyle --- public health --- Spain --- sex factors --- substance abuse --- drinking --- nicotine --- research
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“Sex, Gender and Substance Use” describes how both biological and social factors affect people's use of substances. There is a lot of research carried out on substance use, prevention and treatment in which sex and gender are missing. This book describes the concepts of sex and gender, what they mean and why including them in substance use research, practice and policy is vital. Substances such as alcohol, drugs, nicotine, and tobacco all have differential effects on females and males. Social and cultural gendered factors affect how women and men react to prevention, treatment and policies. The book includes numerous examples of how sex- and gender-sensitive research can increase our understanding and improve prevention and treatment, and why striving for gender-transformative substance use practice and research remains a gold standard.
alcohol --- pregnancy --- abortion --- policy --- gender --- substance use --- FASD prevention --- program evaluation --- multi-service program delivery --- client perspectives --- interpersonal violence --- domestic violence --- intervention --- women --- developmental–relational --- gender-specific approach --- non-medical prescription opioid use --- sleep disturbance --- sex differences --- adolescents --- sexual minorities --- illegal substance use --- homophobic bullying --- alcohol’s harms to others --- gender equality --- drinking cultures --- developmental-relational --- electronic cigarettes --- cigarettes --- waterpipe --- hookah --- polytobacco use --- young adults --- sex --- cognitions --- attitudes --- scoping review --- barriers --- facilitators --- fathers --- males --- smoking --- smoke-free home --- second-hand smoke --- brief intervention --- college campus --- gender transformative --- gender equity --- cannabis --- sex- and gender-based analysis --- SGBA --- cannabis use disorder --- randomized controlled trial --- gender norms --- gender roles --- gender relations --- technology --- health promotion --- SGBA+ --- substance use prevention --- tobacco --- smoking cessation --- clinical decision support systems --- prevention --- alcohol consumption --- FASD --- lifestyle --- public health --- Spain --- sex factors --- substance abuse --- drinking --- nicotine --- research
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The Identification of the Genetic Components of Autism Spectrum Disorders 2020 will be a useful resource for laboratory and clinical scientists, translational-based researchers, primary healthcare providers and physicians, psychologists/psychiatrists, neurologists, developmental pediatricians, clinical geneticists, teachers, special educators, and caregivers involved with individuals who have autism spectrum disorders (ASD), with the goal to translate information directly to the clinical, education and home settings. Other professionals, students at all levels, and families who are interested in this important neurodevelopmental disorder will find this textbook of value by obtaining a better awareness of the causes, testing, and understanding of genetic components leading to autism, and research that may open avenues for treatment with new approaches. This textbook includes nine chapters divided into three sections (clinical, genetics, other) written by experts in the field dedicated to genetics research and clinical care, description, and treatment by generating reviews for ASD and related disorders. These chapters include information on discoveries, risk factors, causation, diagnosis, treatment, and phenotyping with characterization of genomic or genetic factors and the environment, as genetics play an important role in up to 90% of individuals with autism via over 800 currently recognized genes.
autism --- ASD --- genetics --- heterogeneity --- syndromes --- assessment --- medications --- treatment --- causes --- autism spectrum disorders (ASDs) --- proteomics --- metabolomics --- interactomics --- disease biomarkers --- clinical decision support systems (CDSSs) --- phenotypic subgroups stratified by ASD severity --- simplex families --- DNA methylation --- subgroup-associated genes and biological functions --- Broader Autism Phenotype --- genetic --- autism spectrum disorder --- multiplex family --- genetic factors --- epigenetic factors --- environmental factors --- pervasive developmental disorder --- post-synaptic density --- CNV --- SNP --- gene fusion --- CACNA1C --- CaV1.2 --- short QT syndrome --- dental enamel defect --- bioinformatics --- human genetics --- pharmacogenomics --- 15q11.2 BP1-BP2 deletion --- Burnside-Butler syndrome --- clinical findings --- cognition --- neuropsychiatric behavior development --- genomic characterization --- exome sequencing --- protein–protein interaction --- 22q13.3 duplication --- auditory steady-state response --- ASSR --- SHANK3 --- biomarker --- auditory event-related potential --- ERP --- autism spectrum disorders --- intellectual disabilities
Choose an application
“Sex, Gender and Substance Use” describes how both biological and social factors affect people's use of substances. There is a lot of research carried out on substance use, prevention and treatment in which sex and gender are missing. This book describes the concepts of sex and gender, what they mean and why including them in substance use research, practice and policy is vital. Substances such as alcohol, drugs, nicotine, and tobacco all have differential effects on females and males. Social and cultural gendered factors affect how women and men react to prevention, treatment and policies. The book includes numerous examples of how sex- and gender-sensitive research can increase our understanding and improve prevention and treatment, and why striving for gender-transformative substance use practice and research remains a gold standard.
Humanities --- Social interaction --- alcohol --- pregnancy --- abortion --- policy --- gender --- substance use --- FASD prevention --- program evaluation --- multi-service program delivery --- client perspectives --- interpersonal violence --- domestic violence --- intervention --- women --- developmental–relational --- gender-specific approach --- non-medical prescription opioid use --- sleep disturbance --- sex differences --- adolescents --- sexual minorities --- illegal substance use --- homophobic bullying --- alcohol’s harms to others --- gender equality --- drinking cultures --- developmental-relational --- electronic cigarettes --- cigarettes --- waterpipe --- hookah --- polytobacco use --- young adults --- sex --- cognitions --- attitudes --- scoping review --- barriers --- facilitators --- fathers --- males --- smoking --- smoke-free home --- second-hand smoke --- brief intervention --- college campus --- gender transformative --- gender equity --- cannabis --- sex- and gender-based analysis --- SGBA --- cannabis use disorder --- randomized controlled trial --- gender norms --- gender roles --- gender relations --- technology --- health promotion --- SGBA+ --- substance use prevention --- tobacco --- smoking cessation --- clinical decision support systems --- prevention --- alcohol consumption --- FASD --- lifestyle --- public health --- Spain --- sex factors --- substance abuse --- drinking --- nicotine --- research --- alcohol --- pregnancy --- abortion --- policy --- gender --- substance use --- FASD prevention --- program evaluation --- multi-service program delivery --- client perspectives --- interpersonal violence --- domestic violence --- intervention --- women --- developmental–relational --- gender-specific approach --- non-medical prescription opioid use --- sleep disturbance --- sex differences --- adolescents --- sexual minorities --- illegal substance use --- homophobic bullying --- alcohol’s harms to others --- gender equality --- drinking cultures --- developmental-relational --- electronic cigarettes --- cigarettes --- waterpipe --- hookah --- polytobacco use --- young adults --- sex --- cognitions --- attitudes --- scoping review --- barriers --- facilitators --- fathers --- males --- smoking --- smoke-free home --- second-hand smoke --- brief intervention --- college campus --- gender transformative --- gender equity --- cannabis --- sex- and gender-based analysis --- SGBA --- cannabis use disorder --- randomized controlled trial --- gender norms --- gender roles --- gender relations --- technology --- health promotion --- SGBA+ --- substance use prevention --- tobacco --- smoking cessation --- clinical decision support systems --- prevention --- alcohol consumption --- FASD --- lifestyle --- public health --- Spain --- sex factors --- substance abuse --- drinking --- nicotine --- research
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This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizatio
Clinical medicine -- Decision making -- Data processing. --- Diagnosis -- Decision making -- Data processing. --- Diagnosis --- Clinical medicine --- Thinking --- Medicine --- Patient Care Management --- Information Systems --- Technology --- Medical Records Systems, Computerized --- Medical Informatics --- Organization and Administration --- Health Care Quality, Access, and Evaluation --- Learning --- Health Occupations --- Information Science --- Health Services Administration --- Health Care --- Technology, Industry, and Agriculture --- Mental Processes --- Medical Records --- Records as Topic --- Disciplines and Occupations --- Psychological Phenomena and Processes --- Technology, Industry, Agriculture --- Psychiatry and Psychology --- Data Collection --- Epidemiologic Methods --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Delivery of Health Care --- Problem Solving --- Clinical Medicine --- Medical Informatics Applications --- Electronic Health Records --- Organizational Innovation --- Automation --- Decision Support Systems, Clinical --- Health & Biological Sciences --- Radiology, MRI, Ultrasonography & Medical Physics --- Decision making --- Data processing --- Data processing. --- Clinical Decision Support --- Decision Support, Clinical --- Clinical Decision Support Systems --- Clinical Decision Supports --- Decision Supports, Clinical --- Support, Clinical Decision --- Supports, Clinical Decision --- Clinical Decision-Making --- Medicine, Clinical --- Diseases --- Examinations, Medical (Diagnosis) --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medical tests (Diagnosis) --- Prognosis --- Symptoms --- Testing --- Clinical Decision Support System
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This book provides a comprehensive and timely introduction to clinical decision support systems, coming at a time when electronic health records are being routinely used in clinical practice, and clinical decision support systems are seeing more use. Building on the success of the previous editions, Clinical Decision Support Systems: Theory and Practice, Third Edition, once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systems in clinical and educational settings. This fully revised and updated edition is essential reading for informatics specialists, teachers and students in health or medical informatics training programs, and clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based clinical decision support systems.
Medicine. --- Health informatics. --- Medicine & Public Health. --- Health Informatics. --- Diagnosis --- Clinical medicine --- Expert systems (Computer science) --- Decision making --- Data processing. --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Medicine, Clinical --- Diseases --- Examinations, Medical (Diagnosis) --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medical tests (Diagnosis) --- Testing --- Artificial intelligence --- Computer systems --- Soft computing --- Medicine --- Prognosis --- Symptoms --- Medical records --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Data processing --- Decision Support Systems, Clinical. --- Diagnosis, Computer-Assisted. --- Expert Systems. --- MEDICAL --- HEALTH & FITNESS --- Laboratory Medicine. --- Diagnosis. --- Nursing --- Assessment & Diagnosis. --- Clinical Medicine. --- Diseases. --- General. --- Evidence-Based Medicine. --- Expert System --- System, Expert --- Systems, Expert --- Computer-Assisted Diagnosis --- Computer Assisted Diagnosis --- Computer-Assisted Diagnoses --- Diagnoses, Computer-Assisted --- Diagnosis, Computer Assisted --- Clinical Decision Support --- Decision Support, Clinical --- Clinical Decision Support System --- Clinical Decision Support Systems --- Clinical Decision Supports --- Decision Supports, Clinical --- Support, Clinical Decision --- Supports, Clinical Decision --- Clinical Decision-Making
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