Check health professions papers: citations, claims and retractions

Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment

Mahmoud, S. S., Kumar, A., Li, Y., Tang, Y., & Fang, Q. (2021) · Sensors

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 27

Análise do diagrama do modelo de promoção da saúde de Nola J. Pender

Victor, J. F., Lopes, M. V. D. O., & Ximenes, L. B. (2005) · Acta Paulista de Enfermagem

Health and Wellbeing ResearchBehavioral Health and Interventions

Cited by 27

Evaluation of a web-based lifestyle coach designed to maintain a healthy bodyweight

Kelders, S. M., van Gemert-Pijnen, J. E. W. C., Werkman, A., & Seydel, E. R. (2010) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 27

Efficiency of emergency physicians: insights from an observational study using EHR log files

Kannampallil, T., Denton, C., Shapiro, J., & Patel, V. (2018) · Applied Clinical Informatics

Electronic Health Records SystemsEmergency and Acute Care Studies

Cited by 27

Relative contribution of muscle strength, lean mass, and lower extremity motor function in explaining between-person variance in mobility in older adults

Wages, N. P., Simon, J. E., Clark, L. A., Amano, S., Russ, D. W., Manini, T. M., & Clark, B. C. (2020) · BMC Geriatrics

Balance, Gait, and Falls PreventionNutrition and Health in Aging

Cited by 27

How Digital Health Can Be Applied for Preventing and Managing Hypertension

Parati, G., Pellegrini, D., & Torlasco, C. (2019) · Current Hypertension Reports

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 27

Data-Resource Profile: United Kingdom Optimum Patient Care Research Database

Lynam, A., Curtis, C., Stanley, B., Heatley, H., Worthington, C., Roberts, E.-J., Price, C., Carter, V., Dennis, J., McGovern, A., et al. (2023) · Pragmatic and Observational Research

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 27

Whole of community pain education for back pain. Why does first-line care get almost no attention and what exactly are we waiting for?

Moseley, G. L. (2019) · British Journal of Sports Medicine

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 27

Connections between the quality of consultations and patient compliance in general practice

LASSEN, L. C. (1991) · Family Practice

Patient-Provider Communication in HealthcareMedication Adherence and Compliance

Cited by 27

“Computers can land people on Mars, why can’t they get them to work in a hospital?”: Implementation of an Electronic Patient Record System in a UK Hospital

Jones, M. R. (2003) · Methods of Information in Medicine

Electronic Health Records SystemsInformation Systems Theories and Implementation

Cited by 27

Sustainable implementation of early intervention for autism spectrum disorder through caregiver coaching: south African perspectives on barriers and facilitators

Makombe, C. B. T., Shabalala, N., Viljoen, M., Seris, N., de Vries, P. J., & Franz, L. (2019) · Pediatric Medicine

Health Policy Implementation ScienceAutism Spectrum Disorder Research

Cited by 27

Extraction of ejection fraction from echocardiography notes for constructing a cohort of patients having heart failure with reduced ejection fraction (HFrEF)

Wagholikar, K. B., Fischer, C. M., Goodson, A., Herrick, C. D., Rees, M., Toscano, E., MacRae, C. A., Scirica, B. M., Desai, A. S., & Murphy, S. N. (2018) · Journal of Medical Systems

Artificial Intelligence in HealthcareBiomedical Text Mining and Ontologies

Cited by 27

Patients' perspective on digital technologies in advanced genitourinary cancers

Rodler, S., Buchner, A., Stief, C. G., Heinemann, V., Staehler, M., & Casuscelli, J. (2021) · Clinical Genitourinary Cancer

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 27

Influence of posture on routine hemostasis testing

Lippi, G., Salvagno, G. L., Lima-Oliveira, G., Danese, E., Favaloro, E. J., & Guidi, G. C. (2015) · Blood Coagulation & Fibrinolysis

Clinical Laboratory Practices and Quality ControlBlood properties and coagulation

Cited by 27

The Effect of M-Health-Based Core Stability Exercise Combined with Self-Compassion Training for Patients with Nonspecific Chronic Low Back Pain: A Randomized Controlled Pilot Study

Zheng, F., Zheng, Y., Liu, S., Yang, J., Xiao, W., Xiao, W., Chen, L., Yang, W., Zhang, S., Yu, Q., et al. (2022) · Pain and Therapy

Musculoskeletal pain and rehabilitationMobile Health and mHealth Applications

Cited by 27

A novel user utility score for diabetes management using tailored mobile coaching: secondary analysis of a randomized controlled trial

Lee, M.-K., Lee, D. Y., Ahn, H.-Y., & Park, C.-Y. (2021) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 27

Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

Rocque, G. B., Dionne-Odom, J. N., Stover, A. M., Daniel, C. L., Azuero, A., Huang, C.-H. S., Ingram, S. A., Franks, J. A., Caston, N. E., Dent, D. A. N., et al. (2022) · BMC Health Services Research

Health Policy Implementation ScienceTelemedicine and Telehealth Implementation

Cited by 27

Have you got the time? Challenges using vendor electronic health record metrics of provider efficiency

Hron, J. D., & Lourie, E. (2020) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 27

Objective Assessment of Pathological Voice Using Artificial Intelligence Based on the GRBAS Scale

Kojima, T., Fujimura, S., Hasebe, K., Okanoue, Y., Shuya, O., Yuki, R., Shoji, K., Hori, R., Kishimoto, Y., & Omori, K. (2024) · Journal of Voice

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 27

Pilot Study of the EncephaLog Smartphone Application for Gait Analysis

Tchelet, K., Stark-Inbar, A., & Yekutieli, Z. (2019) · Sensors

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 27

Chronic Pain Acceptance Questionnaire: Confirmatory Factor Analysis, Reliability, and Validity in Italian Subjects With Chronic Low Back Pain

Monticone, M., Ferrante, S., Rocca, B., Nava, T., Parini, C., & Cerri, C. (2013) · Spine

Musculoskeletal pain and rehabilitationMindfulness and Compassion Interventions

Cited by 27

Redesigning implementation measurement for monitoring and quality improvement in community delivery settings

Berkel, C., Gallo, C. G., Sandler, I. N., Mauricio, A. M., Smith, J. D., & Brown, C. H. (2019) · The Journal of Primary Prevention

Health Policy Implementation ScienceEvaluation and Performance Assessment

Cited by 27

Changes of Gait Kinematics in Different Simulators of Reduced Gravity

Sylos-Labini, F., Ivanenko, Y. P., Cappellini, G., Portone, A., MacLellan, M. J., & Lacquaniti, F. (2013) · Journal of Motor Behavior

Balance, Gait, and Falls PreventionRobotic Locomotion and Control

Cited by 27

Perceived stress, severity and sources of stress among female medical students in a private medical college in Pakistan

Tariq, S., Tariq, S., Tariq, S., & Jawed, S. (2019) · Journal of the Pakistan Medical Association

Healthcare professionals’ stress and burnoutStudent Stress and Coping

Cited by 27