Results 171 to 180 of about 2,043,579 (311)

Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study. [PDF]

JMIR Form Res
Varghese C, Zhang J, Charney S, Abdalla AA, Reeves E, Holyfield S, Brown AE, Higgins MK, Stearns H, Liss J, Zhang N, Orbelo D, Pittelko RL, Rigelman L, Ortega V, Lott DG, Berisha V.   +16 more
europepmc   +1 more source

Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study. [PDF]

JMIR Med Inform, 2022
Tsai CH, Chen PC, Liu DS, Kuo YY, Hsieh TT, Chiang DL, Lai F, Wu CT.   +7 more
europepmc   +1 more source

Personal Development Mini Case Study

, 2011
This is an introductory mini case study (includes some audio) that forms part of the Personal Development as a Manager and Leader unit. This is part of a University of Bath accredited Level 5 study unit in Management and Leadership (also CMI accredited ...
Division for Lifelong Learning - University of Bath
core  

Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, EarlyView.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Modeling the Adaptation of Dairy Cows to Automatic Milking Systems Using Statistical Methods and Machine Learning: Development of the Robotic Adaptability Index. [PDF]

Animals (Basel)
Piwczyński D, Grzesiak W, Zaborski D, Siatka K.   +3 more
europepmc   +1 more source

Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. [PDF]

EBioMedicine, 2023
Dashtban A, Mizani MA, Pasea L, Denaxas S, Corbett R, Mamza JB, Gao H, Morris T, Hemingway H, Banerjee A.   +9 more
europepmc   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases. [PDF]

Curr Opin Allergy Clin Immunol
Arnau-Soler A, Corriger J, Chantran Y, Goret J.   +3 more
europepmc   +1 more source

Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0). [PDF]

J Neurosurg, 2022
Khan DZ, Luengo I, Barbarisi S, Addis C, Culshaw L, Dorward NL, Haikka P, Jain A, Kerr K, Koh CH, Layard Horsfall H, Muirhead W, Palmisciano P, Vasey B, Stoyanov D, Marcus HJ.   +15 more
europepmc   +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey, Jessica Fitzpatrick, Maria Dall'Era, Charmayne Dunlop‐Thomas, Courtney Hoge, S. Sam Lim, Patricia P. Katz, Jinoos Yazdany, Laura C. Plantinga   +8 more
wiley   +1 more source