↓ Skip to main content

Artificial Intelligence in Medicine

Overview of attention for book
Cover of 'Artificial Intelligence in Medicine'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist Perspective
  3. Altmetric Badge
    Chapter 2 AI in Healthcare: Ethical and Privacy Challenges
  4. Altmetric Badge
    Chapter 3 Recent Context-Aware LSTM for Clinical Event Time-Series Prediction
  5. Altmetric Badge
    Chapter 4 Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification
  6. Altmetric Badge
    Chapter 5 Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope
  7. Altmetric Badge
    Chapter 6 An Automated Fall Detection System Using Recurrent Neural Networks
  8. Altmetric Badge
    Chapter 7 A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification
  9. Altmetric Badge
    Chapter 8 ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification
  10. Altmetric Badge
    Chapter 9 Convolutional Recurrent Neural Network for Bubble Detection in a Portable Continuous Bladder Irrigation Monitor
  11. Altmetric Badge
    Chapter 10 Mammogram Classification with Ordered Loss
  12. Altmetric Badge
    Chapter 11 Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities
  13. Altmetric Badge
    Chapter 12 Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts
  14. Altmetric Badge
    Chapter 13 MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines
  15. Altmetric Badge
    Chapter 14 Automatic Alignment of Surgical Videos Using Kinematic Data
  16. Altmetric Badge
    Chapter 15 A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines
  17. Altmetric Badge
    Chapter 16 Considering Temporal Preferences and Probabilities in Guideline Interaction Analysis
  18. Altmetric Badge
    Chapter 17 Predicting Patient’s Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data
  19. Altmetric Badge
    Chapter 18 Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns
  20. Altmetric Badge
    Chapter 19 Bayesian Network vs. Cox’s Proportional Hazard Model of PAH Risk: A Comparison
  21. Altmetric Badge
    Chapter 20 Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods
  22. Altmetric Badge
    Chapter 21 Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations
  23. Altmetric Badge
    Chapter 22 Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy
  24. Altmetric Badge
    Chapter 23 A Data-Driven Exploration of Hypotheses on Disease Dynamics
  25. Altmetric Badge
    Chapter 24 On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer
  26. Altmetric Badge
    Chapter 25 External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?
  27. Altmetric Badge
    Chapter 26 Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation
  28. Altmetric Badge
    Chapter 27 Mobile Indoor Localization with Bluetooth Beacons in a Pediatric Emergency Department Using Clustering, Rule-Based Classification and High-Level Heuristics
  29. Altmetric Badge
    Chapter 28 NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People
  30. Altmetric Badge
    Chapter 29 The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring
  31. Altmetric Badge
    Chapter 30 AI-Driven Pathology Laboratory Utilization Management via Data- and Knowledge-Based Analytics
  32. Altmetric Badge
    Chapter 31 Using Cluster Ensembles to Identify Psychiatric Patient Subgroups
  33. Altmetric Badge
    Chapter 32 Connection Between the Parkinson’s Disease Subtypes and Patients’ Symptoms Progression
  34. Altmetric Badge
    Chapter 33 Interpretable Patient Subgrouping Using Trace-Based Clustering
  35. Altmetric Badge
    Chapter 34 Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified Relation
  36. Altmetric Badge
    Chapter 35 Bayesian Clustering for HIV1 Protease Inhibitor Contact Maps
  37. Altmetric Badge
    Chapter 36 Time-to-Birth Prediction Models and the Influence of Expert Opinions
  38. Altmetric Badge
    Chapter 37 Modelling the Impact of AI for Clinical Decision Support
  39. Altmetric Badge
    Chapter 38 Generating Positive Psychosis Symptom Keywords from Electronic Health Records
  40. Altmetric Badge
    Chapter 39 Text-to-Movie Authoring of Anatomy Lessons
  41. Altmetric Badge
    Chapter 40 Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data
  42. Altmetric Badge
    Chapter 41 A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics
  43. Altmetric Badge
    Chapter 42 Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision Trees
  44. Altmetric Badge
    Chapter 43 Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with $$^{18}$$ F-Choline
  45. Altmetric Badge
    Chapter 44 A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs
  46. Altmetric Badge
    Chapter 45 A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset
  47. Altmetric Badge
    Chapter 46 Perspectives on Assurance Case Development for Retinal Disease Diagnosis Using Deep Learning
  48. Altmetric Badge
    Chapter 47 Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights
  49. Altmetric Badge
    Chapter 48 Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery
  50. Altmetric Badge
    Chapter 49 Mining Compact Predictive Pattern Sets Using Classification Model
  51. Altmetric Badge
    Chapter 50 Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series
  52. Altmetric Badge
    Chapter 51 Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization
  53. Altmetric Badge
    Chapter 52 Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson’s Disease
Attention for Chapter 32: Connection Between the Parkinson’s Disease Subtypes and Patients’ Symptoms Progression
Altmetric Badge

Mentioned by

twitter
1 tweeter

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Connection Between the Parkinson’s Disease Subtypes and Patients’ Symptoms Progression
Chapter number 32
Book title
Artificial Intelligence in Medicine
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-21642-9_32
Book ISBNs
978-3-03-021641-2, 978-3-03-021642-9
Authors

Anita Valmarska, Dragana Miljkovic, Marko Robnik–Šikonja, Nada Lavrač

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Nursing and Health Professions 1 50%
Computer Science 1 50%