Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review

Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study

(2021) Kazuya Fujihara et al.   JMIR Medical Informatics

Machine learning algorithms to predict seizure due to acute tramadol poisoning

(2021) B Behnoush et al.   HUMAN & EXPERIMENTAL TOXICOLOGY

Applications of machine learning to the problem of antimicrobial resistance: An emerging model for translational research

(2021) Melis N. Anahtar et al.   JOURNAL OF CLINICAL MICROBIOLOGY

A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation

(2021) Siavash Bolourani et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital

(2021) Verena Schöning et al.   Journal of Translational Medicine

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

(2021) Fernando Timoteo Fernandes et al.   Scientific Reports

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

(2021) Espen Jimenez-Solem et al.   Scientific Reports

Machine learning based predictors for COVID-19 disease severity

(2021) Dhruv Patel et al.   Scientific Reports

Involvement of Machine Learning Tools in Healthcare Decision Making

(2021) Senerath Mudalige Don Alexis Chinthaka Jayatilake et al.   Journal of Healthcare Engineering

Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning

(2021) Saket Navlakha et al.   BMC INFECTIOUS DISEASES

Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods

(2021) Mehmet Kivrak et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation

(2021) Juan L Domínguez-Olmedo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predicting outcomes in the Machine Learning era: The Piacenza score a purely data driven approach for mortality prediction in COVID-19 Pneumonia (Preprint)

(2021) Geza Halasz et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predicting breast cancer 5-year survival using machine learning: A systematic review

(2021) Jiaxin Li et al.   PLoS One

Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients

(2021) Miguel Marcos et al.   PLoS One

Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia

(2021) Gregor Lichtner et al.   Scientific Reports

COVID-19 diagnosis by routine blood tests using machine learning

(2021) Matjaž Kukar et al.   Scientific Reports

Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis

(2020) Peter A. Noseworthy et al.   Circulation-Arrhythmia and Electrophysiology

Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit

(2020) Farah Deshmukh et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

How Machine Learning Will Transform Biomedicine

(2020) Jeremy Goecks et al.   CELL

AI2 PREDICTORS OF PARKINSON DISEASE IN A MEDICARE POPULATION: AN APPLICATION OF MACHINE LEARNING IN EARLY DISEASE DETECTION

(2020) Z. Icten et al.   VALUE IN HEALTH

Stroke Prediction with Machine Learning Methods among Older Chinese

(2020) Yafei Wu et al.   International Journal of Environmental Research and Public Health

Digital Pharmaceutical Sciences

(2020) Safa A. Damiati   AAPS PHARMSCITECH

Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure

(2020) Cameron R. Olsen et al.   AMERICAN HEART JOURNAL

Machine learning and artificial intelligence in haematology

(2020) Roni Shouval et al.   BRITISH JOURNAL OF HAEMATOLOGY

How Will Machine Learning Inform the Clinical Care of Atrial Fibrillation?

(2020) Konstantinos C. Siontis et al.   CIRCULATION RESEARCH

Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype

(2020) Adam J. Russak et al.   JOURNAL OF CARDIOVASCULAR PHARMACOLOGY AND THERAPEUTICS

A systematic review of machine learning models for predicting outcomes of stroke with structured data

(2020) Wenjuan Wang et al.   PLoS One

Machine learning in haematological malignancies

(2020) Nathan Radakovich et al.   Lancet Haematology

Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study

(2020) Sungjun Hong et al.   JMIR Medical Informatics

Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using Regional Left Ventricular Multiparametric Strain

(2020) Robert M. MacGregor et al.   ANNALS OF BIOMEDICAL ENGINEERING

Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”

(2020) Alessio Mancini et al.   BMC BIOINFORMATICS

Utilization of machine-learning models to accurately predict the risk for critical COVID-19

(2020) Dan Assaf et al.   Internal and Emergency Medicine

Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation

(2020) Bernhard Wernly et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment

(2020) Michael F. Bergeron et al.   JOURNAL OF ALZHEIMERS DISEASE

Easy-to-use machine learning model predicting prognosis of COVID-19 patients (Preprint)

(2020) Hyung-Jun Kim et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Supervised machine learning tools: a tutorial for clinicians

(2020) Lucas Lo Vercio et al.   Journal of Neural Engineering

A machine learning–based clinical decision support system to identify prescriptions with a high risk of medication error

(2020) Jennifer Corny et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women

(2020) Jae-Geum Shim et al.   Archives of Osteoporosis

Combining machine learning algorithms for prediction of antidepressant treatment response

(2020) Alexander Kautzky et al.   ACTA PSYCHIATRICA SCANDINAVICA

Identifying patients at increased risk of hypoglycaemia in primary care: Development of a machine learning‐based screening tool

(2020) Stijn Crutzen et al.   DIABETES-METABOLISM RESEARCH AND REVIEWS

Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach

(2020) Ming Xu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Can machine learning be useful as a screening tool for depression in primary care?

(2020) Erito Marques de Souza Filho et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Using machine learning tools to predict outcomes for emergency department intensive care unit patients

(2020) Qiangrong Zhai et al.   Scientific Reports

Machine Learning–Based Risk Assessment for Cancer Therapy–Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients

(2020) Yadi Zhou et al.   Journal of the American Heart Association

An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

(2020) Xiaolin Diao et al.   JMIR Medical Informatics

Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis

(2019) Ryan J. Delahanty et al.   ANNALS OF EMERGENCY MEDICINE

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

(2019) Robert F. Wolff et al.   ANNALS OF INTERNAL MEDICINE

Clinical intelligence: New machine learning techniques for predicting clinical drug response

(2019) Turki Turki et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

(2019) Jing Xiao et al.   Journal of Translational Medicine

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

Application of machine learning for diagnostic prediction of root caries

(2019) Man Hung et al.   GERODONTOLOGY

Deep neural networks are superior to dermatologists in melanoma image classification

(2019) Titus J. Brinker et al.   EUROPEAN JOURNAL OF CANCER

Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis

(2019) William J. Gibson et al.   JOURNAL OF THROMBOSIS AND THROMBOLYSIS

Artificial Intelligence for Drug Toxicity and Safety

(2019) Anna O. Basile et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Primer on machine learning

(2019) Parisa Rashidi et al.   Current Opinion in Anesthesiology

Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap

(2019) Sebastiaan C. Goulooze et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Predicting breast cancer risk using personal health data and machine learning models

(2019) Gigi F. Stark et al.   PLoS One

Refining Prediction in Treatment-Resistant Depression

(2018) Alexander Kautzky et al.   JOURNAL OF CLINICAL PSYCHIATRY

Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective

(2018) Yong-Ku Kim et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

An application of machine learning to haematological diagnosis

(2018) Gregor Gunčar et al.   Scientific Reports

Application of machine learning techniques to tuberculosis drug resistance analysis

(2018) Samaneh Kouchaki et al.   BIOINFORMATICS

Introduction to Machine Learning in Digital Healthcare Epidemiology

(2018) Jan A. Roth et al.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY

Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning

(2017) Akbar K Waljee et al.   INFLAMMATORY BOWEL DISEASES

Biopsy-Free Prediction of Pathologic Type of Primary Nephrotic Syndrome Using a Machine Learning Algorithm

(2017) Cuifang Li et al.   KIDNEY & BLOOD PRESSURE RESEARCH

Machine learning for large-scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures

(2016) Ken J. Kubota et al.   MOVEMENT DISORDERS

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) G. S. Collins et al.   CIRCULATION

Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study

(2015) Roni Shouval et al.   JOURNAL OF CLINICAL ONCOLOGY

Machine learning for biomarker identification in cancer research – developments toward its clinical application

(2015) Zeenia Jagga et al.   Personalized Medicine

Machine Learning Approaches: From Theory to Application in Schizophrenia

(2013) Elisa Veronese et al.   Computational and Mathematical Methods in Medicine