1
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
2
MACHINE LEARNING COMPARED TO CONVENTIONAL STATISTICAL MODELS FOR PREDICTING MYOCARDIAL INFARCTION READMISSION AND MORTALITY: A SYSTEMATIC REVIEW.
3
Machine Learning Versus Usual Care for Diagnostic and Prognostic Prediction in the Emergency Department: A Systematic Review
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Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
5
Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques
6
XGBoost Model for Chronic Kidney Disease Diagnosis
7
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
8
Informative missingness in electronic health record systems: the curse of knowing
9
Identification of postoperative complications using electronic health record data and machine learning.
10
Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection
11
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
12
Calculating the sample size required for developing a clinical prediction model
13
Computer-Aided Diagnosis
14
Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry.
15
Calibration: the Achilles heel of predictive analytics
16
Development of Machine Learning Algorithms for Prediction of Mortality in Spinal Epidural Abscess.
17
A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose
18
Clinical risk assessment in early pregnancy for preeclampsia in nulliparous women: A population based cohort study
19
Prediction of the Depth of Tumor Invasion in Gastric Cancer: Potential Role of CT Radiomics.
20
Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.
21
Signal Information Prediction of Mortality Identifies Unique Patient Subsets after Severe Traumatic Brain Injury: A Decision-Tree Analysis Approach
22
Identifying predictors of probable posttraumatic stress disorder in children and adolescents with earthquake exposure: A longitudinal study using a machine learning approach.
23
Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.
24
Developing infrared spectroscopic detection for stratifying brain tumour patients: glioblastoma multiforme vs. lymphoma.
25
Development of Machine Learning Algorithms for Prediction of Prolonged Opioid Prescription after Surgery for Lumbar Disc Herniation.
26
Prospectively Classifying Community Walkers After Stroke: Who Are They?
27
A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
28
Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay
29
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
30
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
31
Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism
32
Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone
33
Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters
34
Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques
35
Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS
36
A prediction model of military combat and training exposures on VA service-connected disability: a CENC study
37
Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin’s Medical Centers: Using Data Mining Method
38
Automatic Classification of Sarcopenia Level in Older Adults: A Case Study at Tijuana General Hospital
39
Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
40
An Improvised Classification Model for Predicting Delirium
41
Machine Learning Diagnosis of Peritonsillar Abscess
42
Developing well-calibrated illness severity scores for decision support in the critically ill
43
Predicting HCV Incidence in Latinos with High-Risk Substance Use: A Data Science Approach
44
Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features
45
Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer’s Disease Based on an Extreme Learning Machine Method from the ADNI cohort
46
Predicting visual outcome after open globe injury using classification and regression tree model: the Moradabad ocular trauma study.
47
Response to repeat echoendoscopic celiac plexus neurolysis in pancreatic cancer patients: A machine learning approach.
48
Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study.
49
Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion
50
Analysis of survival for lung cancer resections cases with fuzzy and soft set theory in surgical decision making
51
Performance of a machine learning-based decision model to help clinicians decide the extent of lymphadenectomy (D1 vs. D2) in gastric cancer before surgical resection
52
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
53
The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis
54
Prediction Model for Choosing Needle Length to Minimize Risk of Median Nerve Puncture With Dry Needling of the Pronator Teres.
55
Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia.
56
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
57
Reporting of artificial intelligence prediction models
58
Machine learning in medicine: a practical introduction
59
Deep structural brain lesions associated with consciousness impairment early after hemorrhagic stroke
60
A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
61
Development and validation of case-finding algorithms for recurrence of breast cancer using routinely collected administrative data
62
Prediction of fatty liver disease using machine learning algorithms
63
Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma.
64
Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients
65
Using classification techniques for statistical analysis of Anemia
66
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
67
Prospective validation of a new airway management algorithm and predictive features of intubation difficulty
68
Using neuroimaging to predict relapse in stimulant dependence: A comparison of linear and machine learning models
69
PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
70
Computer-Aided Diagnosis of Pancreas Serous Cystic Neoplasms: A Radiomics Method on Preoperative MDCT Images
71
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
72
Discovery and validation of a serum microRNA signature to characterize oligo- and polymetastatic prostate cancer: not ready for prime time
73
Regional gray matter changes and age predict individual treatment response in Parkinson's disease
74
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning
75
New‐Onset Diabetes and Preexisting Diabetes Are Associated With Comparable Reduction in Long‐Term Survival After Liver Transplant: A Machine Learning Approach
76
Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches
77
Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort
78
Composition Analysis and Feature Selection of the Oral Microbiota Associated with Periodontal Disease
79
Objective and automatic classification of Parkinson disease with Leap Motion controller
80
Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models
81
Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.
82
An interpretable boosting model to predict side effects of analgesics for osteoarthritis
83
Identifying people at risk of developing type 2 diabetes: A comparison of predictive analytics techniques and predictor variables
84
Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot study.
85
Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.
86
Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis
87
Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose
88
Artificial intelligence, machine learning and health systems
89
New Diagnostic Criteria for the Localization of Insulinomas with the Selective Arterial Calcium Injection Test: Decision Tree Analysis.
90
Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator
91
Predicting burn patient mortality with electronic medical records
92
Comprehensive Evolutionary Analysis of the Major RNA-Induced Silencing Complex Members
93
Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety
94
Early Prediction of the Severity of Acute Pancreatitis Using Radiologic and Clinical Scoring Systems With Classification Tree Analysis.
95
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
96
Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
97
Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.
98
Long-term Relapse of Type 2 Diabetes After Roux-en-Y Gastric Bypass: Prediction and Clinical Relevance
99
Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data
100
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
101
Predicting hospital admission at emergency department triage using machine learning
102
Predicting acute kidney injury in cancer patients using heterogeneous and irregular data
103
Predictive model for macrosomia using maternal parameters without sonography information
104
Postoperative Pneumonia is Associated with Long-Term Oncologic Outcomes of Definitive Chemoradiotherapy Followed by Salvage Esophagectomy for Esophageal Cancer
105
A similarity-based approach to leverage multi-cohort medical data on the diagnosis and prognosis of Alzheimer's disease
106
Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome
107
Predictors of In-Hospital Mortality After Rapid Response Team Calls in a 274 Hospital Nationwide Sample*
108
Occipital EEG Activity for the Detection of Nocturnal Hypoglycemia
109
Key Marker Selection for the Detection of Early Parkinson’ s Disease using Importance-Driven Models
110
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
111
A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia
112
Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy
113
Accuracy of dengue clinical diagnosis with and without NS1 antigen rapid test: Comparison between human and Bayesian network model decision
114
Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
115
Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices
116
Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit
117
Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
118
Comparison of Algorithms to Triage Patients to Express Care in a Sexually Transmitted Disease Clinic
119
Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
120
A BLOOD-BASED SIGNATURE OF CEREBRAL SPINAL FLUID Aβ1-42 STATUS
121
Visceral fat mass as a novel risk factor for predicting gestational diabetes in obese pregnant women
122
Falls Risk Prediction for Older Inpatients in Acute Care Medical Wards: Is There an Interest to Combine an Early Nurse Assessment and the Artificial Neural Network Analysis?
123
Sleep patterns predictive of daytime challenging behavior in individuals with low‐functioning autism
124
Prediction of persistent hemodynamic depression after carotid angioplasty and stenting using artificial neural network model
125
Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls
126
Predictive modeling of emergency cesarean delivery
127
Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment
128
Prediction Models for 30-Day Mortality and Complications After Total Knee and Hip Arthroplasties for Veteran Health Administration Patients With Osteoarthritis.
129
Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy
130
Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions
131
Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
132
Adequate sample size for developing prediction models is not simply related to events per variable
133
Prediction models for cardiovascular disease risk in the general population: systematic review
134
What Is Machine Learning
135
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
136
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
137
Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints
138
Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models
139
Prediction of Perioperative Mortality of Cadaveric Liver Transplant Recipients During Their Evaluations
140
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
141
Reducing waste from incomplete or unusable reports of biomedical research
142
Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
143
Clinical Prediction Models
144
Reporting and Methods in Clinical Prediction Research: A Systematic Review
145
Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure.
146
Development and validation of a prediction model with missing predictor data: a practical approach.
147
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement
148
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
149
Prognosis and prognostic research: what, why, and how?
150
Clinical Prediction Models
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Subscribe: http://www.bmj.com/subscribe studies based on artificial intelligence
153
What Is Machine Learning: a Primer for the Epidemiologist.
154
Predicting hospitalacquired pneumonia among schizophrenic patients: A machine learning approach
156
Prognosis Research in Health Care
157
Postoperative neonatal mortality prediction using superlearning.
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Was selection of predictors based on univariable analysis avoided? 63 (67
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Were relevant model performance measures evaluated appropriately? 14 (15
161
Were model overfitting and optimism in model performance accounted for?
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censoring, competing risks, sampling of control participants) accounted for appropriately?
