المؤلفون: Motahari-Nezhad, Hossein

المصدر: Global Knowledge, Memory and Communication, 2023, Vol. 74, Issue 1/2, pp. 583-597.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/GKMC-11-2022-0254

المؤلفون: Gunjan Kumar, Aparna Mukherjee

المصدر: Journal of Medical Evidence, Vol 5, Iss 4, Pp 338-344 (2024)

مصطلحات موضوعية: patient recruitment, patient retention, trial administration, trial management, trial monitoring, Medicine

وصف الملف: electronic resource

Relation: https://journals.lww.com/10.4103/JME.JME_164_24; https://doaj.org/toc/2667-0720; https://doaj.org/toc/2667-0739

URL الوصول: https://doaj.org/article/0b1c88e7b5d94915b8a21064fa578626

المؤلفون: Rubina Ratnaparkhi, Gary C. Doolittle, Hope Krebill, Michelle Springer, Elizabeth Calhoun, Andrea Jewell, Dinesh Pal Mudaranthakam

المصدر: Contemporary Clinical Trials Communications, Vol 42, Iss , Pp 101379- (2024)

مصطلحات موضوعية: Clinical trials, Gynecologic oncology, Patient recruitment, Electronic screening, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2451865424001261; https://doaj.org/toc/2451-8654

URL الوصول: https://doaj.org/article/e6ed431696b5474f9d7e18867b38da02

المؤلفون: Ella Nysetvold, Lauren N. Lopez, Ashley N. Cogell, Henrik Fryk, Nelson D. Pace, Sara Snell Taylor, Joyce Rhoden, Caitlin A. Nichols, Demetris Pillas, Alexander Klein, Teresa Gasalla, Anna Scowcroft

المصدر: Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Progressive supranuclear palsy, PSP, Real-world data, Patient recruitment, Healthcare resource utilization, Observational study, Medicine

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1750-1172

URL الوصول: https://doaj.org/article/6e2aa388272d41f587cb0d60a0d93ee8

المؤلفون: S. S. Milovanov

المصدر: Фармакоэкономика, Vol 17, Iss 1, Pp 76-85 (2024)

مصطلحات موضوعية: patient recruitment, recruitment factors, external factors, clinical trials, Therapeutics. Pharmacology, RM1-950, Economics as a science, HB71-74

وصف الملف: electronic resource

Relation: https://www.pharmacoeconomics.ru/jour/article/view/1006; https://doaj.org/toc/2070-4909; https://doaj.org/toc/2070-4933

URL الوصول: https://doaj.org/article/da08f1f99e9545b786108fd4bfe5915c

المؤلفون: Miho Nakajima, Ayumu Arakawa, Chitose Ogawa

المصدر: EJC Paediatric Oncology, Vol 3, Iss , Pp 100157- (2024)

مصطلحات موضوعية: Pediatric cancers, Drug development, Global collaborative trials, Multi-stakeholders, Rapid patient recruitment, Japan, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772610X24000163; https://doaj.org/toc/2772-610X

URL الوصول: https://doaj.org/article/c0c88e29b3f74c2995442bb992ec1e25

المؤلفون: Martin Boeker, Daniela Zöller, Romina Blasini, Philipp Macho, Sven Helfer, Max Behrens, Hans-Ulrich Prokosch, Christian Gulden

المصدر: Trials, Vol 25, Iss 1, Pp 1-9 (2024)

مصطلحات موضوعية: Clinical trial, Clinical trial recruitment support, Patient recruitment, Hospital information system, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1745-6215

URL الوصول: https://doaj.org/article/9d6e4d228cef4dd2b9dfa01b87eb347f

المؤلفون: Joseph Newman, Philip Wild, HEAL-COVID Collaboration, Charlotte Summers, Mark Toshner

المصدر: Trials, Vol 25, Iss 1, Pp 1-8 (2024)

مصطلحات موضوعية: Associate Principal Investigators, Clinical trials, Training, Patient recruitment, COVID-19, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1745-6215

URL الوصول: https://doaj.org/article/e4fdbff3b57f4689b7963906d40e10ab

المؤلفون: Svyatoslav S. Milovanov

المصدر: RUDN Journal of Medicine, Vol 27, Iss 4, Pp 496-514 (2023)

مصطلحات موضوعية: site selection, patient recruitment, successful recruitment, clinical trials, Medicine

وصف الملف: electronic resource

Relation: https://journals.rudn.ru/medicine/article/viewFile/37175/22875; https://doaj.org/toc/2313-0245; https://doaj.org/toc/2313-0261

URL الوصول: https://doaj.org/article/c1b60da2c63948649783cf0a3f76d85e

المؤلفون: Xiaosong Shi, Dinesh Pal Mudaranthakam, Jo A. Wick, David Streeter, Jeffrey A. Thompson, Natalie R. Streeter, Tara L. Lin, Joseph Hines, II, Matthew S. Mayo, Byron J. Gajewski

المصدر: Contemporary Clinical Trials Communications, Vol 38, Iss , Pp 101281- (2024)

مصطلحات موضوعية: Patient recruitment, Performance assessment, Bayesian methods, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2451865424000280; https://doaj.org/toc/2451-8654

URL الوصول: https://doaj.org/article/c8d834bc4d1745538693cf8d7aeec80e

المؤلفون: Caroline Mccarthy, Ivana Pericin, Susan Smith, Frank Moriarty, Barbara Clyne

مصطلحات موضوعية: Geriatrics and gerontology, Aged health care, Family care, Multimorbidity, Research, science and technology policy, polypharmacy, process evaluation, randomized controlled trial, research design, Clinical Research, Clinical Trials and Supportive Activities, Older patients, experimental research, general practitioner (GP), older patient recruitment, SPPiRE, Qualitative data, patient-reported outcome measures (PROMs)

Relation: 10779/rcsi.24787833.v1; https://figshare.com/articles/journal_contribution/Recruiting_general_practitioners_and_older_patients_with_multimorbidity_to_randomized_trials_/24787833

الاتاحة: https://figshare.com/articles/journal_contribution/Recruiting_general_practitioners_and_older_patients_with_multimorbidity_to_randomized_trials_/24787833

المؤلفون: Joseph Newman, Philip Wild, Charlotte Summers, Mark Toshner

مصطلحات موضوعية: Science Policy, Associate Principal Investigators, Clinical trials, Training, Patient recruitment, COVID-19

Relation: https://figshare.com/articles/journal_contribution/Additional_file_1_of_Associate_Principal_Investigators_and_the_HEAL-COVID_trial_good_for_trainees_good_for_trials/25097325

الاتاحة: https://doi.org/10.6084/m9.figshare.25097325.v1
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Associate_Principal_Investigators_and_the_HEAL-COVID_trial_good_for_trainees_good_for_trials/25097325

المؤلفون: Newman, Joseph, Wild, Philip, HEAL-COVID Collaboration, Summers, Charlotte, Toshner, Mark

مصطلحات موضوعية: Associate Principal Investigators, COVID-19, Clinical trials, Patient recruitment, Training, Humans, United Kingdom

وصف الملف: application/pdf

Relation: https://www.repository.cam.ac.uk/handle/1810/363440; https://doi.org/10.17863/CAM.105510

الاتاحة: https://www.repository.cam.ac.uk/handle/1810/363440
https://doi.org/10.17863/CAM.105510

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/List_of_benchmark_studies_per_indication_/25384461

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s001

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/Real-world_data_cohort_definition_per_indication_/25384464

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s002

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/Selected_set_of_covariates_per_indication_/25384470

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s003

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/Summary_of_the_enrollment_statistics_across_the_two_experiments_/25384476

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s005

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/Model_performance_on_train_set_across_the_two_experiments_/25384479

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s006

المؤلفون: Lars Hulstaert, Isabell Twick, Khaled Sarsour, Hans Verstraete

مصطلحات موضوعية: Science Policy, Hematology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, outperforms baseline methods, machine learning approach, inflammatory bowel disease, identify research sites, predict patient enrollment, clinical trial timelines, clinical trial planning, validate recruitment hypotheses, published recruitment hypotheses, planned trial recruitment, historical recruitment data, two disease indications, sufficiently high number, define covariates based, common industry baselines, world patient data, site selection strategies, predicting patient enrollment, compare model performance, patient recruitment, world data, site selection, clinical development, level recruitment, expected recruitment

Relation: https://figshare.com/articles/journal_contribution/XGBoost_hyperparameter_grid_and_final_model_hyperparameters_per_indication_/25384473

الاتاحة: https://doi.org/10.1371/journal.pone.0300109.s004

المؤلفون: Hendrik Dapper, Maurice Dantes, Peter Herschbach, Hana Algül, Volker Heinemann

المصدر: Journal of Cancer Research and Clinical Oncology, Vol 149, Iss 10, Pp 7601-7608 (2023)

مصطلحات موضوعية: Tumor boards, Oncological clinical trials, Patient recruitment, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0171-5216; https://doaj.org/toc/1432-1335

URL الوصول: https://doaj.org/article/cb5fbf90abc84949aedbe8ac8d7fe1cf