Results 191 to 200 of about 28,332 (249)

Study on the efficiency of industry-university-research collaborative innovation in China based on a two-stage game cross-efficiency model incorporating Shapley value. [PDF]

PLoS One
Li X, Ji X.
europepmc   +1 more source

Machine Learning‐Based Recurrence and Survival Prediction in a Large Institutional Upper Extremity Soft Tissue Sarcoma Cohort

Journal of Surgical Oncology, EarlyView.
ABSTRACT Background and Objectives Upper extremity soft tissue sarcomas (UE STS) present unique management challenges; existing prognostic nomograms were developed from mixed anatomic cohorts. This study develops anatomically specific machine learning (ML) models to predict UE‐STS outcomes and benchmarks them against established tools.
Kameel Khabaz, Nicole J. Newman‐Hung, Ruiwen Ding, Derek Pham, Nicholas J. Jackson, William Hsu, Nicholas M. Bernthal, Lauren E. Wessel   +7 more
wiley   +1 more source

Correction: Self-allocation bias in performance-based cooperative decisions is driven by self-interest rather than distorted performance encoding. [PDF]

PLoS Biol
Zhang S, Yong X, Ma Y, Korn CW.
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Development and Validation of a Machine Learning-Based Model for Predicting All-Cause Mortality Risk in Patients With Type 2 Diabetes Mellitus Combined With Hypertension: National Cohort Study. [PDF]

JMIR Med Inform
Ding W, Fang L, Fang C.
europepmc   +1 more source

Joint and Independent Associations of Dietary Antioxidant Intakes With Advanced Stages in Older Patients With Cardiovascular‐Kidney‐Metabolic Syndrome

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study explored the association between the composite dietary antioxidant index (CDAI) and cardiovascular‐kidney‐metabolic (CKM) progression in an older population. Using data from NHANES 2001–2020, we analyzed 4974 adults aged ≥ 60 years with CKM syndrome. The CDAI was calculated from the intake of six dietary antioxidants.
Fu‐Shan Qiu, Jian‐Chao Qi, Mei‐Zhu Lin, Jun‐Hua Ke   +3 more
wiley   +1 more source

Data-driven trial design: use of target trial emulation to evaluate eligibility criteria in asthma and COPD. [PDF]

Front Med (Lausanne)
Makgoeng SB, Gamalo M, Russo LJ, Pradhan V, Bhattacharjee A, Bhosale N.   +5 more
europepmc   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10. [PDF]

Online J Public Health Inform
Ruan J.
europepmc   +1 more source

Explainable artificial intelligence reveals key surgical parameters in robot-assisted and open radical prostatectomy. [PDF]

Sci Rep
Klein CR, Heuser P, Trunz E, Kristiansen G, Brossart P, Ritter M, Krausewitz P.   +6 more
europepmc   +1 more source