RESOURCES
Sherlock Holmes, Heuristics, and the RTS Road Map: Part I
In the last blog post, we discussed how much ado has been made about injury prediction. To make injury prediction a feasible endeavor, though, we need to study the athlete in their environment like it is a complex-adaptive system (because it is).
Sherlock Holmes, Heuristics, and the RTS Roadmap: Part III
When was the last time you ventured out on a trip using a good old fashioned roadmap and a pencil to mark out your route? I can remember my parents working at the dining room table before a long road trip to trace out the route they would take. A bunch of working rules or heuristics guided their decision making. For example, if you were traveling with little kids, you would probably need to plan for a break every few hours and, ideally, those locations would have toilets and space for a good run.
Sherlock Holmes, Heuristics, AI, and Plantiga: Part IV
This is the final blog post in a four-part series on the Plantiga system and how it can help the individual patient, the athlete, the weekend warrior, the clinician, and the performance practitioner generate their own objective measures to optimize their health and manage recovery after injury.
The Value of Quantitative Data: A Chiropractor's Perspective
This is the final blog post in a four-part series on the Plantiga system and how it can help the individual patient, the athlete, the weekend warrior, the clinician, and the performance practitioner generate their own objective measures to optimize their health and manage recovery after injury.