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Genomics and Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Jun 18, 2019. (Total: 22583 Documents since 2012)
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Query Trace: All [orginal query]>>Non-Genomics Precision Health[Category]
Publication
Top 10 Statistics Mistakes Made by Data Scientists
N Niemer, Towards Data Science Blog, June 17, 2019

Evaluating the predictability of medical conditions from social media posts.
Merchant Raina M et al. PloS one 2019 14(6) e0215476
By the numbers: ratings and utilization of behavioral health mobile applications
AD Carlo et al, NPJ Digital Medicine, June 17, 2019
Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.
Blank Celine et al. Fertility and sterility 2019 111(2) 318-326
Digital Education for Health Professions in the Field of Dermatology: A Systematic Review by Digital Health Education Collaboration.
Xu Xiaomeng et al. Acta dermato-venereologica 2019 Feb 99(2) 133-138
Effect of Telehealth System on Glycemic Control in Children and Adolescents with Type 1 Diabetes
Döger Esra et al. Journal of clinical research in pediatric endocrinology 2019 11(1) 70-75
Proposing New Blockchain Challenges in eHealth.
Alonso Susel Góngora et al. Journal of medical systems 2019 Feb 43(3) 64
eHealth and mHealth.
Moss Robert John et al. European journal of hospital pharmacy. Science and practice 2019 Jan 26(1) 57-58
Deep Learning in Medicine. Are We Ready?
Ting Daniel Sw et al. Annals of the Academy of Medicine, Singapore 2019 Jan 48(1) 1-4
Feasibility and usability of an ontology-based mobile intervention for patients with hypertension.
Wheeler Tyler S et al. International journal of medical informatics 2018 1198-16
[Medicine 4.0: examples of applications of electronics, information technology and microsystems in modern medicine].
Wolf Bernhard et al. Medecine sciences : M/S 2018 Nov 34(11) 978-983
Multi-trajectory modeling of home blood pressure telemonitoring utilization among hypertensive patients in China: A latent class growth analysis.
Ye Ting et al. International journal of medical informatics 2018 11970-74
Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.
Ding Lei et al. Chinese medical journal 2019 Feb 132(4) 379-387
Artificial intelligence and machine learning in emergency medicine.
Stewart Jonathon et al. Emergency medicine Australasia : EMA 2018 30(6) 870-874
New-Onset Diabetes and Preexisting Diabetes Are Associated With Comparable Reduction in Long-Term Survival After Liver Transplant: A Machine Learning Approach.
Bhat Venkat et al. Mayo Clinic proceedings 2018 93(12) 1794-1802
Feasibility of Obtaining Measures of Lifestyle From a Smartphone App: The MyHeart Counts Cardiovascular Health Study.
McConnell Michael V et al. JAMA cardiology 2017 2(1) 67-76
Measurement of selected preventable adverse drug events in electronic health records: Toward developing a complexity score.
Jeon Nakyung et al. American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists 2017 Nov 74(22) 1865-1877
Improving Glycemic Control in Adults and Children With Type 1 Diabetes With the Use of Smartphone-Based Mobile Applications: A Systematic Review.
Sun Cathy et al. Canadian journal of diabetes 2019 Feb 43(1) 51-58.e3
Preventive Medicine for Person, Place, and Planet: Revisiting the Concept of High-Level Wellness in the Planetary Health Paradigm.
Prescott Susan L et al. International journal of environmental research and public health 2019 16(2)
The effect of electronic health records on patient safety: A qualitative exploratory study.
Tubaishat Ahmad et al. Informatics for health & social care 2019 Jan 44(1) 79-91
'Ripple' effect on infant zBMI trajectory of an internet-based weight loss program for low-income postpartum women.
Phelan S et al. Pediatric obesity 2019 14(1)
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.
Tuwatananurak Justin P et al. Journal of medical systems 2019 Jan 43(3) 44
Effect of a lifestyle-focused electronic patient support application for improving risk factor management, self-rated health, and prognosis in post-myocardial infarction patients: study protocol for a multi-center randomized controlled trial.
Gonzalez Manuel et al. Trials 2019 Jan 20(1) 76
Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study.
Koivumäki Timo et al. Journal of medical Internet research 2017 19(12) e429
Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.
Kwon Joon-Myoung et al. Echocardiography (Mount Kisco, N.Y.) 2019 36(2) 213-218
Artificial intelligence and modern information and communication technologies entering medicine.
Brdicka Radim et al. Casopis lekaru ceskych 2019 158(2) 87-91
A Health Informatics Reporting System for Technology Illiterate Workforce Using Mobile Phone.
Durrani Muhammad Imran Afzal et al. Applied clinical informatics 2019 Mar 10(2) 348-357
Classification of hospital admissions into emergency and elective care: a machine learning approach.
Krämer Jonas et al. Health care management science 2019 Mar 22(1) 85-105
What big data could achieve in Scotland.
Ngai J et al. The journal of the Royal College of Physicians of Edinburgh 2017 47(4) 396
First Steps Into the Brave New Transdiscipline of Mobile Health.
Spring Bonnie et al. JAMA cardiology 2017 2(1) 76-78
The Effect of Digital Health Intervention on Reducing Cardiovascular Risk-Reply.
Anand Sonia S et al. JAMA cardiology 2017 2(3) 346
The Effect of Digital Health Intervention on Reducing Cardiovascular Risk.
Chidambaram Swathikan et al. JAMA cardiology 2017 2(3) 345-346
Quality Improvement in the Era of Big Data.
Hassett Michael J et al. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2017 35(28) 3178-3180
Using predictive analytics and big data to optimize pharmaceutical outcomes.
Hernandez Inmaculada et al. American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists 2017 Sep 74(18) 1494-1500
Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children
S Syed et al, JAMA Network Open, June 14, 2019
PatientsÂ’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
VT Tran et al, NPJ Digital Medicine, June 14, 2019
Big Data in Public Health: Terminology, Machine Learning, and Privacy.
Mooney Stephen J et al. Annual review of public health 2018 3995-112
Artificial intelligence: a new clinical support tool for stress echocardiography.
Alsharqi Maryam et al. Expert review of medical devices 2018 Aug 15(8) 513-515
The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential.
Ström Peter et al. European urology 2018 74(2) 204-210
Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America.
Baltrusaitis Kristin et al. BMC infectious diseases 2018 18(1) 403
Medical informatics research trend analysis: A text mining approach.
Kim Yong-Mi et al. Health informatics journal 2018 24(4) 432-452
Artificial intelligence, machine learning and health systems.
Panch Trishan et al. Journal of global health 2018 Dec 8(2) 020303
Bringing wearable devices into oncology practice: fitting smart technology in the clinic.
Menta Arjun K et al. Discovery medicine 2018 26(145) 261-270
A Pilot Study of Use of a Software Platform for the Collection, Integration, and Visualization of Diabetes Device Data by Health Care Providers in a Multidisciplinary Pediatric Setting.
Wong Jenise C et al. Diabetes technology & therapeutics 2018 20(12) 806-816
Elderly fall risk prediction based on a physiological profile approach using artificial neural networks.
Razmara Jafar et al. Health informatics journal 2018 24(4) 410-418
Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records.
Vazquez Guillamet Rodrigo et al. Health informatics journal 2018 24(4) 394-409
The use of eHealth with immunizations: An overview of systematic reviews.
Dumit Elsy Maria et al. Vaccine 2018 36(52) 7923-7928
A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ).
Kayser Lars et al. Journal of medical Internet research 2018 20(2) e36
Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation.
Jimenez Paulino et al. Journal of medical Internet research 2018 20(2) e65
The Effect of Doctor-Consumer Interaction on Social Media on Consumers' Health Behaviors: Cross-Sectional Study.
Wu Tailai et al. Journal of medical Internet research 2018 20(2) e73
Concordance of Adherence Measurement Using Self-Reported Adherence Questionnaires and Medication Monitoring Devices: An Updated Review.
Monnette Alisha et al. PharmacoEconomics 2018 36(1) 17-27
Randomized controlled pilot study of an educational video plus telecare for the early outpatient management of musculoskeletal pain among older emergency department patients.
Platts-Mills Timothy F et al. Trials 2018 Jan 19(1) 10
Commission: communication on the future of digital health.
Kohl Stephanie et al. European journal of hospital pharmacy. Science and practice 2018 Jul 25(4) 228-230
Overcoming the data drought: exploring general practice in Australia by network analysis of big data.
Tran Bich et al. The Medical journal of Australia 2018 209(2) 68-73
Telemedicine and virtual consultation: The Indian perspective.
Ateriya Navneet et al. The National medical journal of India 31(4) 215-218
Wearable smartwatch technology to monitor symptoms in advanced illness.
Nwosu Amara Callistus et al. BMJ supportive & palliative care 2018 8(2) 237
Artificial intelligence in medicine: current trends and future possibilities.
Buch Varun H et al. The British journal of general practice : the journal of the Royal College of General Practitioners 2018 68(668) 143-144
Lifelong Learning for Clinical Practice: How to Leverage Technology for Telebehavioral Health Care and Digital Continuing Medical Education.
Hilty Donald M et al. Current psychiatry reports 2018 20(3) 15
Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions.
Firth Joseph et al. Current psychiatry reports 2018 20(6) 44
Artificial Intelligence in Radiation Oncology Imaging.
Thompson Reid F et al. International journal of radiation oncology, biology, physics 2018 102(4) 1159-1161
Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.
Peng Luke et al. International journal of radiation oncology, biology, physics 2018 102(4) 1236-1243
Success of pacemaker remote monitoring using app-based technology: Does patient age matter?
Tarakji Khaldoun G et al. Pacing and clinical electrophysiology : PACE 2018 41(10) 1329-1335
Artificial intelligence weights the importance of factors predicting complete cytoreduction at secondary cytoreductive surgery for recurrent ovarian cancer.
Bogani Giorgio et al. Journal of gynecologic oncology 2018 Sep 29(5) e66
Validation of Mobile Health Interventions in Cardiovascular Prevention: The Unanswered Questions in Light of LIGHT.
Tekkesin Ahmet Ilker et al. The Canadian journal of cardiology 2018 34(9) 1234.e9
Focusing on the Future of Mobile Mental Health and Smartphone Interventions.
Torous John B et al. Psychiatric services (Washington, D.C.) 2018 69(9) 945
Patient-directed Digital Health Technologies: Is Implementation Outpacing Evidence?
Houston Thomas K et al. Medical care 2019 57(2) 95-97
Embracing simplexity: the role of artificial intelligence in peri-procedural medical safety.
Patriarca Riccardo et al. Expert review of medical devices 2019 Feb 16(2) 77-79
mHealth Intervention is Effective in Creating Smoke-Free Homes for Newborns: A Randomized Controlled Trial Study in China.
Yu Shaohua et al. Scientific reports 2017 7(1) 9276
[Position Paper of The AG Digital Health DNVF on Digital Health Applications: Framework Conditions For Use in Health Care, Structural Development and Science].
Vollmar Horst Christian et al. Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) 2017 Dec 79(12) 1080-1092
A Machine Learning-based Surface Electromyography Topography Evaluation for Prognostic Prediction of Functional Restoration Rehabilitation in Chronic Low Back Pain.
Jiang Naifu et al. Spine 2017 Nov 42(21) 1635-1642
Uptake of Tailored Text Message Smoking Cessation Support in Pregnancy When Advertised on the Internet (MiQuit): Observational Study.
Emery Joanne L et al. Journal of medical Internet research 2018 20(4) e146
A Mobile Health App-Based Postnatal Educational Program (Home-but not Alone): Descriptive Qualitative Study.
Shorey Shefaly et al. Journal of medical Internet research 2018 20(4) e119
Assessing Therapeutic Alliance in the Context of mHealth Interventions for Mental Health Problems: Development of the Mobile Agnew Relationship Measure (mARM) Questionnaire.
Berry Katherine et al. Journal of medical Internet research 2018 20(4) e90
Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women.
Nickson Carolyn et al. Breast cancer research : BCR 2018 20(1) 155
Mobile Phone Questionnaires for Sexual Risk Data Collection Among Young Women in Soweto, South Africa.
Dietrich Janan J et al. AIDS and behavior 2018 Jul 22(7) 2312-2321
An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years.
Chan Man-Pui Sally et al. AIDS and behavior 2018 Jul 22(7) 2322-2333
Impact of the clinical pharmacy specialist in telehealth primary care.
Litke Jessica et al. American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists 2018 Jul 75(13) 982-986
Advancement of clinical pharmacy practice through intervention capture.
Groppi Julie A et al. American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists 2018 Jun 75(12) 886-892
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks.
López-Linares Karen et al. Medical image analysis 2018 46202-214
[Review of the methodological, ethical, legal and social issues of research projects in healthcare with big data].
de Lecuona Itziar et al. Gaceta sanitaria 32(6) 576-578
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.
Halilaj Eni et al. Journal of biomechanics 2018 811-11
AMA Supports Artificial Intelligence in Medical Practice, Training
J Kent, HealthIT Analytics, June 12, 2019
A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults
SL Holzmann et al, MDPI, June 7, 2019
Leveraging Artificial Intelligence and Machine Learning to Advance Environmental Health Research and Decisions
June 6, 2019- June 7, 2019 ~ Workshop: Washington, DC,
Internet- and App-Based Stress Intervention for Distance-Learning Students With Depressive Symptoms: Protocol of a Randomized Controlled Trial.
Harrer Mathias et al. Frontiers in psychiatry 2019 10361
The effect of virtual reality technology on preoperative anxiety in children: a Solomon four-group randomized clinical trial.
Dehghan Fateme et al. Perioperative medicine (London, England) 2019 85
Telemedicine in Palliative Care: Implementation of New Technologies to Overcome Structural Challenges in the Care of Neurological Patients.
Weck Christiane Eva et al. Frontiers in neurology 2019 10510
Effects of a Game-Based Virtual Reality Video Capture Training Program Plus Occupational Therapy on Manual Dexterity in Patients with Multiple Sclerosis: A Randomized Controlled Trial.
Waliño-Paniagua Carmen Nélida et al. Journal of healthcare engineering 2019 20199780587
Assessing usability of eHealth technology: A comparison of usability benchmarking instruments.
Broekhuis Marijke et al. International journal of medical informatics 2019 Aug 12824-31
Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.
Tang Yixuan et al. International journal of medical informatics 2019 Aug 12862-70
Measuring electronic communication networks in virtual care teams using electronic health records access-log data.
Zhu Xi et al. International journal of medical informatics 2019 Aug 12846-52
Local health department adoption of electronic health records and health information exchanges and its impact on population health.
Yeung Tina et al. International journal of medical informatics 2019 Aug 1281-6
Transforming Screening Uptake in Low-resource and Underinformed Populations: A Preliminary Study of Factors Influencing Women's Decisions to Uptake Screening.
Akwo Judith D et al. Journal of medical imaging and radiation sciences 2019 Jun 50(2) 323-330.e2
Diagnostic Accuracy in Primary Care E-Visits: Evaluation of a Large Integrated Health Care Delivery System's Experience.
Hertzog Rhonda et al. Mayo Clinic proceedings 2019 Jun 94(6) 976-984
A Digital-First Model of Diabetes Care.
Cafazzo Joseph A et al. Diabetes technology & therapeutics 2019 Jun 21(S2) S252-S258
Usability of PCforMe in patients with advanced cancer referred to outpatient palliative care: results of a randomized, active-controlled pilot trial.
Kamal Arif H et al. Journal of pain and symptom management 2019 Jun
Embedding research recruitment in a community resource e-prescribing system: lessons from an implementation study on Chicago's South Side.
Feldmeth Gillian et al. Journal of the American Medical Informatics Association : JAMIA 2019 Jun
Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke.
Burdea Grigore et al. Assistive technology : the official journal of RESNA 2019 Jun 1-12
Big Data Approaches to Phenotyping Acute Ischemic Stroke Using Automated Lesion Segmentation of Multi-Center Magnetic Resonance Imaging Data.
Wu Ona et al. Stroke 2019 Jun STROKEAHA119025373
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