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HINT: Hierarchical interaction network for clinical-trial-outcome predictions

Patterns (New York, N.Y.), 2022-04, Vol.3 (4), p.100445, Article 100445

2022

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Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review

International journal of medical informatics (Shannon, Ireland), 2024-02, Vol.182, p.105308-105308, Article 105308

2024

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Predicting Sports Results with Artificial Intelligence – A Proposal Framework for Soccer Games

Procedia computer science, 2019, Vol.164, p.131-136

2019

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PICaSSO virtual electronic chromendoscopy accurately reflects combined endoscopic and histological assessment for prediction of clinical outcomes in ulcerative colitis

United European gastroenterology journal, 2022-03, Vol.10 (2), p.147-159

2022

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Is There a Role for Minimal Residual Disease Monitoring in Follicular Lymphoma in the Chemo-Immunotherapy Era?

Mediterranean journal of hematology and infectious diseases, 2017-01, Vol.9 (1), p.e2017010-e2017010

2017

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Positive und negative Therapieerwartungen sagen Therapieerfolg vorher

Zeitschrift für klinische Psychologie und Psychotherapie (Göttingen, Germany), 2023-04, Vol.52 (2), p.98-107

2023

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Development and Validation of a Nomogram for Predicting the Probability of Live Birth in Infertile Women

Reproductive and developmental medicine, 2019-04, Vol.3 (2), p.77-83

2019

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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata

Medical image analysis, 2025-01, Vol.99, p.103381, Article 103381

2025

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Neuroprognostication Practices in Postcardiac Arrest Patients: An International Survey of Critical Care Providers

Critical care medicine, 2020-02, Vol.48 (2), p.e107-e114

2020

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Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis

International journal of medical informatics (Shannon, Ireland), 2025-01, Vol.193, p.105659, Article 105659

2025

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Machine Learning–Based Prediction of Chronic Shunt-Dependent Hydrocephalus After Spontaneous Subarachnoid Hemorrhage

World neurosurgery, 2024-09

2024

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P329 Repeatability of SSEPs during and after targeted temperature management

Clinical neurophysiology, 2017-09, Vol.128 (9), p.e284-e285

2017

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Digital Health

Linwood, Simon Lin

2022

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A novel score for predicting 1‐year mortality of intensive care patients

Acta anaesthesiologica Scandinavica, 2024-02, Vol.68 (2), p.195-205

2024

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MELD 3.0: The Model for End-Stage Liver Disease Updated for the Modern Era

Gastroenterology (New York, N.Y. 1943), 2021-12, Vol.161 (6), p.1887-1895.e4

2021

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Seronegative autoimmune encephalitis: clinical characteristics and factors associated with outcomes

Brain (London, England : 1878), 2022-10, Vol.145 (10), p.3509-3521

2022

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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Medical physics (Lancaster), 2018-07, Vol.45 (7), p.3449-3459

2018

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A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

Physics in medicine & biology, 2015-07, Vol.60 (14), p.5471-5496

2015

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Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling

Brain (London, England : 1878), 2017-02, Vol.140 (2), p.319-332

2017

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Quantitative sensory testing and predicting outcomes for musculoskeletal pain, disability, and negative affect: a systematic review and meta-analysis

Pain (Amsterdam), 2019-09, Vol.160 (9), p.1920-1932

2019

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Artificial Intelligence in Endodontics

Journal of the California Dental Association, 2023-12, Vol.51 (1)

2023

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Machine learning-based preoperative predictive analytics for lumbar spinal stenosis

Neurosurgical focus, 2019-05, Vol.46 (5), p.E5-E5

2019

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Added value of ovarian reserve testing on patient characteristics in the prediction of ovarian response and ongoing pregnancy: an individual patient data approach

Human reproduction update, 2013-01, Vol.19 (1), p.26-36

2013

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Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy

BMC cancer, 2017-12, Vol.17 (1), p.829-829, Article 829

2017

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HINT: Hierarchical interaction network for clinical-trial-outcome predictions

Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review

Predicting Sports Results with Artificial Intelligence – A Proposal Framework for Soccer Games

PICaSSO virtual electronic chromendoscopy accurately reflects combined endoscopic and histological assessment for prediction of clinical outcomes in ulcerative colitis

Is There a Role for Minimal Residual Disease Monitoring in Follicular Lymphoma in the Chemo-Immunotherapy Era?

Positive und negative Therapieerwartungen sagen Therapieerfolg vorher

Development and Validation of a Nomogram for Predicting the Probability of Live Birth in Infertile Women

A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata

Neuroprognostication Practices in Postcardiac Arrest Patients: An International Survey of Critical Care Providers

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis

Machine Learning–Based Prediction of Chronic Shunt-Dependent Hydrocephalus After Spontaneous Subarachnoid Hemorrhage

P329 Repeatability of SSEPs during and after targeted temperature management

Digital Health

A novel score for predicting 1‐year mortality of intensive care patients

MELD 3.0: The Model for End-Stage Liver Disease Updated for the Modern Era

Seronegative autoimmune encephalitis: clinical characteristics and factors associated with outcomes

Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling

Quantitative sensory testing and predicting outcomes for musculoskeletal pain, disability, and negative affect: a systematic review and meta-analysis

Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT

Artificial Intelligence in Endodontics

Machine learning-based preoperative predictive analytics for lumbar spinal stenosis

Added value of ovarian reserve testing on patient characteristics in the prediction of ovarian response and ongoing pregnancy: an individual patient data approach

Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy

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