Search for dissertations about: "Learning Disorder"
Showing result 1 - 5 of 92 swedish dissertations containing the words Learning Disorder.
-
1. Borderline personality disorder : studies of suffering, quality of life and dialectical behavioural therapy
Abstract : The aims of the present thesis were: * To investigate how women patients with borderline personality disorder (BPD) perceive their suffering, quality of life and encounter with psychiatric care (paper 11 and III). * To describe BPD patients' and psychiatric professionals' perceptions of receiving and giving dialectical behavioural therapy, DBT (paper I). READ MORE
-
2. Occupation-based and occupation-focused evaluation and intervention with children : a validation study of the assessment of motor and process skills (AMPS)
Abstract : IntroductionOccupational therapists are concerned with enabling people to perform the daily life tasks they need, want, or are expected to perform for fullest possible integration into community living and participation in society. Children with mild disabilities have problems performing personal and instrumental activities of daily living (ADL) tasks at home or school, and that can limit their full integration and participation in their homes and school lives. READ MORE
-
3. Adaptation and learning in postural control
Abstract : The importance of the ability to use bipedal stance and gait in everyday life cannot be underestimated. Bipedal stance is learned during childhood and constantly adapted to changing circumstances throughout life. Failure to attain and maintain the control of upright posture can have catastrophic consequences. READ MORE
-
4. Dyslexia: Relevance of Concepts, Validity of Measurements, and Cognitive Functions
Abstract : The thesis opens with an exposition of different uses of the term dyslexia. In that context its conceptual relevance is discussed. READ MORE
-
5. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach
Abstract : Background: Advancements in machine learning (ML) techniques and voice technology offer the potential to harness voice as a new tool for developing decision-support tools in healthcare for the benefit of both healthcare providers and patients. Motivated by technological breakthroughs and the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, numerous studies aim to investigate the diagnostic potential of ML algorithms in the context of voice-affecting disorders. READ MORE