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Academic Journal

Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning.

  • Authors : Wu H; Coulter Department of Biomedical Engineering, Georgia Insitute of Technology, Atlanta, USA.; Shi W

Subjects: Machine Learning* ; Algorithms*; Humans

  • Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 May 27; Vol. 24 (1), pp. 137. Date of Electronic Publication: 2024 May 27.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Academic Journal

An effective ensemble learning approach for classification of glioma grades based on novel MRI features.

  • Authors : Hassan MF; Faculty of Engineering, University of Kufa, Najaf, Iraq.; VIPBG, Virginia Commonwealth University, Richmond, VA, 23284-3090, USA.

Subjects: Glioma*/Glioma*/Glioma*/diagnostic imaging ; Glioma*/Glioma*/Glioma*/classification ; Glioma*/Glioma*/Glioma*/pathology

  • Source: Scientific reports [Sci Rep] 2024 May 25; Vol. 14 (1), pp. 11977. Date of Electronic Publication: 2024 May 25.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models.

  • Authors : Puder A; Embedded Systems, Getinge AB, 76437 Rastatt, Germany.; Zink M

Subjects: Machine Learning* ; Algorithms*; Humans

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 01; Vol. 24 (9). Date of Electronic Publication: 2024 May 01.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.

  • Authors : Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .; Koç GG

Subjects: Algorithms* ; Machine Learning*; Supervised Machine Learning

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Prediction of post-delivery hemoglobin levels with machine learning algorithms.

  • Authors : Aghajanian S; Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.; Neuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran.

Subjects: Machine Learning* ; Hemoglobins*/Hemoglobins*/Hemoglobins*/analysis ; Hemoglobins*/Hemoglobins*/Hemoglobins*/metabolism

  • Source: Scientific reports [Sci Rep] 2024 Jun 17; Vol. 14 (1), pp. 13953. Date of Electronic Publication: 2024 Jun 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

A deep learning framework for predicting disease-gene associations with functional modules and graph augmentation.

  • Authors : Jia X; College of Computer Science and Technology, Qingdao University, Qingdao, 266071, Shandong, China.; Luo W

Subjects: Deep Learning* ; Algorithms*; Humans

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Jun 14; Vol. 25 (1), pp. 214. Date of Electronic Publication: 2024 Jun 14.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Comparison of Machine Learning Algorithms Fed with Mobility-Related and Baropodometric Measurements to Identify Temporomandibular Disorders.

  • Authors : Taborri J; Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy.; Molinaro L

Subjects: Temporomandibular Joint Disorders*/Temporomandibular Joint Disorders*/Temporomandibular Joint Disorders*/diagnosis ; Temporomandibular Joint Disorders*/Temporomandibular Joint Disorders*/Temporomandibular Joint Disorders*/physiopathology ; Machine Learning*

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jun 04; Vol. 24 (11). Date of Electronic Publication: 2024 Jun 04.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.

  • Authors : Shaha TR; Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur, 1707, Bangladesh.; Department of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj, 8100, Bangladesh.

Subjects: Machine Learning* ; Depression*/Depression*/Depression*/diagnosis ; Algorithms*

  • Source: BMC medical research methodology [BMC Med Res Methodol] 2024 Jun 03; Vol. 24 (1), pp. 123. Date of Electronic Publication: 2024 Jun 03.Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288

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Academic Journal

Quantifying Nocturnal Scratch in Atopic Dermatitis: A Machine Learning Approach Using Digital Wrist Actigraphy.

  • Authors : Xing Y; Statistical Innovation Group, AbbVie, North Chicago, IL 60064, USA.; Song B

Subjects: Dermatitis, Atopic* ; Machine Learning* ; Actigraphy*/Actigraphy*/Actigraphy*/methods

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 24; Vol. 24 (11). Date of Electronic Publication: 2024 May 24.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features.

  • Authors : Bahameish M; College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar.; Stockman T

Subjects: Heart Rate*/Heart Rate*/Heart Rate*/physiology ; Machine Learning* ; Stress, Psychological*/Stress, Psychological*/Stress, Psychological*/physiopathology

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 18; Vol. 24 (10). Date of Electronic Publication: 2024 May 18.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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