| . | Inclusion criteria . | Exclusion criteria . |
|---|---|---|
| Publication type | Original studies which report the development and/or validation, and/or comparison of models | Methodology studies, editorial comments, research protocols, review or systematic review. |
| Settings | Outpatients/GP. | Inpatients/hospitalizations, ED, or remote monitoring at home. |
| Models and tasks | Multivariable ML/DL models for long-term individual risk prediction. | Studies that only report conventional statistical methods, feature selection, and ML models for embedding, NLP, and subtype definition/clustering. |
| Populations | Adults (18 years of age and older), asymptomatic general population. | Patients with prior CVD or CV symptoms. Specific sub-populations including particular ethnicities, genders, age groups, or patients with specific diseases. |
| Data type | Structure individual data derived or integrated from electronic health (medical) records | The data only contain ECGs, echocardiograms, ultrasounds, DNA sequences, and other imaging data. |
| CVD outcomes | CHD, stroke/TIA, or heart failure | In-hospital CVD outcomes including survival/mortality after surgery, (re)admission, and length of stay. |
| Filter applied | Published after January 2010, publication in English, human studies, full-text available, peer-reviewed literature. | |
| . | Inclusion criteria . | Exclusion criteria . |
|---|---|---|
| Publication type | Original studies which report the development and/or validation, and/or comparison of models | Methodology studies, editorial comments, research protocols, review or systematic review. |
| Settings | Outpatients/GP. | Inpatients/hospitalizations, ED, or remote monitoring at home. |
| Models and tasks | Multivariable ML/DL models for long-term individual risk prediction. | Studies that only report conventional statistical methods, feature selection, and ML models for embedding, NLP, and subtype definition/clustering. |
| Populations | Adults (18 years of age and older), asymptomatic general population. | Patients with prior CVD or CV symptoms. Specific sub-populations including particular ethnicities, genders, age groups, or patients with specific diseases. |
| Data type | Structure individual data derived or integrated from electronic health (medical) records | The data only contain ECGs, echocardiograms, ultrasounds, DNA sequences, and other imaging data. |
| CVD outcomes | CHD, stroke/TIA, or heart failure | In-hospital CVD outcomes including survival/mortality after surgery, (re)admission, and length of stay. |
| Filter applied | Published after January 2010, publication in English, human studies, full-text available, peer-reviewed literature. | |
GP, general practice; ED, emergency department; ML/DL, machine/deep learning; CVD, cardiovascular diseases; ECG, electrocardiogram; CHD, coronary heart disease; TIA, transient ischaemic attack.
| . | Inclusion criteria . | Exclusion criteria . |
|---|---|---|
| Publication type | Original studies which report the development and/or validation, and/or comparison of models | Methodology studies, editorial comments, research protocols, review or systematic review. |
| Settings | Outpatients/GP. | Inpatients/hospitalizations, ED, or remote monitoring at home. |
| Models and tasks | Multivariable ML/DL models for long-term individual risk prediction. | Studies that only report conventional statistical methods, feature selection, and ML models for embedding, NLP, and subtype definition/clustering. |
| Populations | Adults (18 years of age and older), asymptomatic general population. | Patients with prior CVD or CV symptoms. Specific sub-populations including particular ethnicities, genders, age groups, or patients with specific diseases. |
| Data type | Structure individual data derived or integrated from electronic health (medical) records | The data only contain ECGs, echocardiograms, ultrasounds, DNA sequences, and other imaging data. |
| CVD outcomes | CHD, stroke/TIA, or heart failure | In-hospital CVD outcomes including survival/mortality after surgery, (re)admission, and length of stay. |
| Filter applied | Published after January 2010, publication in English, human studies, full-text available, peer-reviewed literature. | |
| . | Inclusion criteria . | Exclusion criteria . |
|---|---|---|
| Publication type | Original studies which report the development and/or validation, and/or comparison of models | Methodology studies, editorial comments, research protocols, review or systematic review. |
| Settings | Outpatients/GP. | Inpatients/hospitalizations, ED, or remote monitoring at home. |
| Models and tasks | Multivariable ML/DL models for long-term individual risk prediction. | Studies that only report conventional statistical methods, feature selection, and ML models for embedding, NLP, and subtype definition/clustering. |
| Populations | Adults (18 years of age and older), asymptomatic general population. | Patients with prior CVD or CV symptoms. Specific sub-populations including particular ethnicities, genders, age groups, or patients with specific diseases. |
| Data type | Structure individual data derived or integrated from electronic health (medical) records | The data only contain ECGs, echocardiograms, ultrasounds, DNA sequences, and other imaging data. |
| CVD outcomes | CHD, stroke/TIA, or heart failure | In-hospital CVD outcomes including survival/mortality after surgery, (re)admission, and length of stay. |
| Filter applied | Published after January 2010, publication in English, human studies, full-text available, peer-reviewed literature. | |
GP, general practice; ED, emergency department; ML/DL, machine/deep learning; CVD, cardiovascular diseases; ECG, electrocardiogram; CHD, coronary heart disease; TIA, transient ischaemic attack.
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