ArticleJournal of personalized medicine2022
Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores.
Open access · goldAbstract read
In one paragraph
Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders.Journal of neuropsychology · 2026Review
- Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism.Frontiers in molecular biosciences · 2026Article
- Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study.JMIR medical informatics · 2025Article
- Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients.The journal of prevention of Alzheimer's disease · 2025Article
- Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression.Aging clinical and experimental research · 2025Article
- Factors associated with a high level of suicide risk among patients with late-life depression: a cross-sectional study from a tertiary psychiatric hospital in Guangzhou China.BMC geriatrics · 2024Article
- Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review.Journal of personalized medicine · 2024Review
- Predicting the occurrence of stress urinary incontinence after prolapse surgery: a machine learning-based model.Annals of translational medicine · 2023Article
- The Relationship between Trait Impulsivity and Everyday Executive Functions among Patients with Type 2 Diabetes Mellitus: The Mediating Effect of Negative Emotions.Journal of diabetes research · 2023Article
- Association ofFrontiers in aging neuroscience · 2023Article
- Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods.Scientific reports · 2022Article
- Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening.Brain sciences · 2022Article
- Optimizing pediatric "Mild" traumatic brain injury assessments: A multi-domain random forest analysis of diagnosis and outcomes.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Jie WangDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0002-2081-6272
Zhuo WangDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Ning LiuDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Caiyan LiuDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Chenhui MaoDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Liling DongDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jie LiDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Xinying HuangDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Dan LeiDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Shanshan ChuDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jianyong WangDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Jing GaoDepartment of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTsinghua University · CN
Funding
CAMS Innovation Fund for Medical Sciences (CIFMS) 2016-I2M-1-004CAMS Innovation Fund for Medical Sciences (CIFMS) 2020-I2MC&T-B-010National Key Research and Development Program of China 2016YFC1306300National Key Research and Development Program of China 2020YFA0804500National Natural Science Foundation of China 30470618National Natural Science Foundation of China 81550021strategic priority research program (Pilot study) 'biological basis of aging and therapeutic strategies' of the Chinese Academy of Sciences grant XDPB10
Abstract
PubMed holds no abstract for this paper.
Indexed as
cognitive dysfunctiondementiamachine learningmental status and dementia testsneuropsychological tests
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.