Results 231 to 240 of about 7,939,631 (285)

Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study. [PDF]

J Ovarian Res
Li Y, Zeng H, Fu J.
europepmc   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation. [PDF]

Intensive Care Med Exp
Roggeveen LF, Hassouni AE, de Grooth HJ, Girbes ARJ, Hoogendoorn M, Elbers PWG, Dutch ICU Data Sharing Against COVID-19 Collaborators.   +6 more
europepmc   +1 more source

Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.

JMIR Med Inform
Cardamone NC, Olfson M, Schmutte T, Ungar L, Liu T, Cullen SW, Williams NJ, Marcus SC.   +7 more
europepmc   +1 more source

Combined expert-in-the-loop-random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironments. [PDF]

J Transl Med
Saqi A, Liu Y, Politis MG, Salvatore M, Jambawalikar S.   +4 more
europepmc   +1 more source

Novel Approach to Personalized Physician Recommendations Using Semantic Features and Response Metrics: Model Evaluation Study.

JMIR Hum Factors
Zheng Y, Cai Y, Yan Y, Chen S, Gong K.
europepmc   +1 more source

Viability of Open Large Language Models for Clinical Documentation in German Health Care: Real-World Model Evaluation Study.

JMIR Med Inform
Heilmeyer F, Böhringer D, Reinhard T, Arens S, Lyssenko L, Haverkamp C.   +5 more
europepmc   +1 more source

Evaluating GARCH models [PDF]

Journal of Econometrics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stefan Lundbergh, Timo Teräsvirta
openaire   +2 more sources

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EVALUATION OF MODELS

Biomedizinische Technik/Biomedical Engineering, 2002
Evaluation of models describing computer based technology is crucial for further evolution of medical progress. In this project, the research sites of the Sonderforschungsbereich 414 "Computer and sensor aided surgery" were linked for evaluation purposes.
J, Albers, S, Hassfeld, C F, Vahl
openaire   +2 more sources