4.6 Article

Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more

Related references

Note: Only part of the references are listed.
Article Oncology

The association of circadian parameters and the clustering of fatigue, depression, and sleep problems in breast cancer survivors: a latent class analysis

Belle H. de Rooij et al.

Summary: This study aimed to identify subgroups of breast cancer survivors based on symptoms of fatigue, insomnia, and depression, and assess the association between circadian parameters and these subgroups over time. The results showed that survivors with a late chronotype or low circadian amplitude were more likely to have moderate or high symptom burden. Most survivors with moderate or high symptom burden at T1 continued to have symptoms at T2.

JOURNAL OF CANCER SURVIVORSHIP (2023)

Article Statistics & Probability

Interpretable machine learning: Fundamental principles and 10 grand challenges

Cynthia Rudin et al.

Summary: This work highlights the fundamental principles of interpretable machine learning and identifies 10 technical challenge areas in this field, including optimizing sparse models, scoring systems, and adding constraints for better interpretability. It serves as a useful starting point for statisticians and computer scientists interested in interpretable machine learning.

STATISTICS SURVEYS (2022)

Review Biology

Machine learning in medical applications: A review of state-of-the-art methods

Mohammad Shehab et al.

Summary: Machine learning methods have been extensively applied in the medical field to enhance the reliability and accuracy of diagnostic systems. This survey provides a comprehensive review of the standard technologies and discusses five major medical applications of machine learning.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Computer Science, Interdisciplinary Applications

Data mining and machine learning in cancer survival research: An overview and future recommendations

Ishleen Kaur et al.

Summary: Data mining and machine learning techniques are playing an increasingly important role in the decision-making process in the medical field, particularly in cancer survival research. In recent years, researchers have discovered some methods and future directions for more accurate prediction of cancer survival by utilizing clinical data and various machine learning techniques.

JOURNAL OF BIOMEDICAL INFORMATICS (2022)

Article Biochemical Research Methods

Predictive and interpretable models via the stacked elastic net

Armin Rauschenberger et al.

Summary: The study introduced an interpretable meta-learning approach for high-dimensional regression, called the elastic net, which balances weak effects for many features and strong effects for some features. By combining multiple weightings through stacking, it enhances predictive performance while maintaining interpretability.

BIOINFORMATICS (2021)

Review Health Care Sciences & Services

Prevalence of Fatigue in Patients With Cancer: A Systematic Review and Meta-Analysis

Mohammed Al Maqbali et al.

Summary: Fatigue is a common symptom among cancer patients, with an overall prevalence rate of 49% according to this meta-analysis. Female gender is identified as a significant factor associated with higher prevalence of fatigue, while age is not correlated with fatigue.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2021)

Article Oncology

Common and distinct characteristics associated with self-reported functional status in older patients with cancer receiving chemotherapy

Ann Helen Torstveit et al.

Summary: This study aimed to evaluate inter-individual differences in subjective measures of functional status in older patients undergoing chemotherapy, and identify characteristics associated with initial levels and trajectories of these measures. Findings showed that higher numbers of comorbidities, as well as higher depression, pain, and dyspnea scores, were associated with decreases in physical function at the start of chemotherapy.

EUROPEAN JOURNAL OF ONCOLOGY NURSING (2021)

Review Computer Science, Artificial Intelligence

Interpretability of machine learning-based prediction models in healthcare

Gregor Stiglic et al.

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2020)

Article Public, Environmental & Occupational Health

Broadening horizons: the case for capturing function and the role of health informatics in its use

Denis Newman-Griffis et al.

BMC PUBLIC HEALTH (2019)

Article Health Care Sciences & Services

Patient-Reported Functional Status in Outpatients With Advanced Cancer: Correlation With Physician-Reported Scores and Survival

Gordana Popovic et al.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2018)

Article Health Care Sciences & Services

Risk Factors Associated With Chemotherapy-Induced Nausea in the Week Before the Next Cycle and Impact of Nausea on Quality of Life Outcomes

Komal P. Singh et al.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2018)

Editorial Material Biochemical Research Methods

POINTS OF SIGNIFICANCE Statistics versus machine learning

Danilo Bzdok et al.

NATURE METHODS (2018)

Meeting Abstract Oncology

Clinician versus patient: Who gets it right when assessing function in palliative care?

Sara Lauren Mann et al.

JOURNAL OF CLINICAL ONCOLOGY (2018)

Article Multidisciplinary Sciences

Learning from data to predict future symptoms of oncology patients

Nikolaos Papachristou et al.

PLOS ONE (2018)

Letter Medicine, General & Internal

Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment

Ethan Basch et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)

Editorial Material Biochemical Research Methods

POINTS OF SIGNIFICANCE Machine learning: a primer

Danilo Bzdok et al.

NATURE METHODS (2017)

Review Oncology

Self-management education interventions for patients with cancer: a systematic review

Doris Howell et al.

SUPPORTIVE CARE IN CANCER (2017)

Review Neurosciences

Classical Statistics and Statistical Learning in Imaging Neuroscience

Danilo Bzdok

FRONTIERS IN NEUROSCIENCE (2017)

Article Oncology

Subgroups of chemotherapy patients with distinct morning and evening fatigue trajectories

Kord M. Kober et al.

SUPPORTIVE CARE IN CANCER (2016)

Article Health Care Sciences & Services

A Rasch Analysis of Assessments of Morning and Evening Fatigue in Oncology Patients Using the Lee Fatigue Scale

Anners Lerdal et al.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2016)

Article Health Care Sciences & Services

Predictors and Trajectories of Morning Fatigue Are Distinct From Evening Fatigue

Fay Wright et al.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2015)

Article Health Care Sciences & Services

Trajectories of Evening Fatigue in Oncology Outpatients Receiving Chemotherapy

Fay Wright et al.

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT (2015)

Article Geosciences, Multidisciplinary

Root mean square error (RMSE) or mean absolute error (MAE)? - Arguments against avoiding RMSE in the literature

T. Chai et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2014)

Article Oncology

Differences in morning and evening fatigue in oncology patients and their family caregivers

Anand Dhruva et al.

EUROPEAN JOURNAL OF ONCOLOGY NURSING (2013)

Article Clinical Neurology

Circadian dimension and severity of depression

Philippe Courtet et al.

EUROPEAN NEUROPSYCHOPHARMACOLOGY (2012)

Article Oncology

The Attentional Function Index-a self-report cognitive measure

Bernadine Cimprich et al.

PSYCHO-ONCOLOGY (2011)

Article Psychology, Multidisciplinary

Fatigue, Depression, Sleep, and Activity During Chemotherapy: Daily and Intraday Variation and Relationships Among Symptom Changes

Heather S. L. Jim et al.

ANNALS OF BEHAVIORAL MEDICINE (2011)

Letter Biochemical Research Methods

Pitfalls of supervised feature selection

Pawel Smialowski et al.

BIOINFORMATICS (2010)

Article Computer Science, Artificial Intelligence

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

Juan Diego Rodriguez et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Oncology

Impact of Cultural and Linguistic Factors on Symptom Reporting by Patients With Cancer

Xin Shelley Wang et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2010)

Article Health Care Sciences & Services

What's in a Name? Word descriptors of cancer-related fatigue

Katherine Hauser et al.

PALLIATIVE MEDICINE (2010)

Review Clinical Neurology

Circadian rhythm disturbances in depression

Anne Germain et al.

HUMAN PSYCHOPHARMACOLOGY-CLINICAL AND EXPERIMENTAL (2008)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Review Health Care Sciences & Services

Fatigue in palliative care patients - an EAPC approach

Lukas Radbruch et al.

PALLIATIVE MEDICINE (2008)

Review Oncology

Patient-reported outcomes assessment in cancer trials: Taking stock, moving forward

Joseph Lipscomb et al.

JOURNAL OF CLINICAL ONCOLOGY (2007)

Article Psychiatry

Taking fatigue seriously, II: Variability in fatigue levels in cancer patients

Joel E. Dimsdale et al.

PSYCHOSOMATICS (2007)

Article Statistics & Probability

Regularization and variable selection via the elastic net

H Zou et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)

Article Psychology, Clinical

Development of a new resilience scale: The Connor-Davidson Resilience scale (CD-RISC)

KM Connor et al.

DEPRESSION AND ANXIETY (2003)

Article Health Care Sciences & Services

What does the medical record reveal about functional status? A comparison of medical record and interview data

ST Bogardus et al.

JOURNAL OF GENERAL INTERNAL MEDICINE (2001)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)